Today’s guest is Carm Taglienti, Distinguished Engineer and Product Portfolio Director for Insight, a leading IT solutions provider specializing in streamlining enterprise data infrastructure. He joins us on the podcast today to talk about some of the challenges organizations face both in laying the groundwork for AI transformation from scratch and developing existing systems in a way that avoids technical debt. This episode is sponsored by Insight. Learn more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today’s guest is Aamar Hussain, Director of Data & AI Customer Solution Architecture for Azure at Microsoft. Aamar also has experience at Google and helping transform businesses through customer experience. He joins Emerj Senior Editor Matthew DeMello today in fielding questions about what do – particularly financial services organizations – wish they had known at the initial, or “foundational” phase of a customer experience transformation through data. Later, they discuss potential criteria for determining whether an organization should seek a vendor or develop data capabilities in-house. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Ylan Kazi, Chief Data Officer at Blue Cross Blue Shield of North Dakota. He joins us in the first of two episodes to discuss AI’s strides in diagnostics over the years, primarily driven by visual data in radiology and elsewhere. But this is not to discount where we find compelling use cases in text and language data – especially with how the healthcare space has reacted to the emergence of Chat-GPT and large language models. To discover critical AI applications and trends, download our whitepaper “3 Ways to Discover AI Trends” at emerj.com/t3.

Today's guests are WorkFusion VP, Head of AI Paul Tepper, and VP of Product Management Tina Chace. WorkFusion is a software company with over $340 million in funding that blends RPA and AI – a process often called intelligent automation – to help businesses digitize their operations. In conversation with Emerj Senior Editor Matthew DeMello, Paul, and Tina differentiates intelligent automation from RPA and explain why compliance and financial crime are particularly well suited for intelligent automation as a solution. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Senior Vice President, Federal, R+D at Palantir, Shannon Clark. Shannon has spent nearly twenty years immersed in the defense sector, both for private contractors and the federal government. In conversation with Emerj CEO Daniel Faggella, Shannon explains the core cultural and technical barriers that make AI readiness challenging in defense – and the best places in the Department of Defense to begin preparing legacy defense systems for AI enhancement. Later, they discuss the high demand for engineers in the federal government and offer advice to AI-driven defense startups. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today's guest is Dr. Lori Cenci, US Head of Unauthorized Trade Surveillance at HSBC. She has over two decades of experience in risk, compliance, conduct, capital markets, quantitative research, product development, client advisory, consulting, writing, and teaching with such austere financial services brands as HSBC. In conversation with Emerj CEO Daniel Faggella, they dissect the impact of AI on insider risk detection and compliance in the financial services space and what a day in the life is like for a market abuse investigator. Later, Lori offers strategies for sorting organizational problems and developing the right questions that automatically cultivate the best data to detect insider risk. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest for the final episode in our five-part ‘AI Futures’ series on the ‘AI in Business’ podcast is Tom Davenport, an American academic, business leader, and world-renowned voice in matters of artificial intelligence. He joins Emerj CEO and Head of Research Daniel Faggella to discuss the forces that are making new developments in generative AI mandatory across the global economy. Later they examine how business leaders can make the most of these technologies without incurring undue legal risk. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Piotr Niedzwiedz, Founder & CEO at neptune.ai. In conversation with Emerj CEO Daniel Faggella, they discuss how business leaders can best help their organizations navigate the transition from an AI services model to an AI product model. From challenges in venture capital to judging whether or not your AI product can even be a viable service, to begin with, Piotr pulls directly from his experience at neptune.ai and beyond to offer the audience direct insight. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today's guest for part four in our five-part 'AI Futures' series on the 'AI in Business' podcast is Dr. Francesca Rossi, Fellow and AI Ethics Global Leader at IBM and President of the American Association for Artificial Intelligence. She joins Emerj CEO and Head of Research Daniel Faggella to discuss challenges and solutions for humanity posed by the evolution of generative AI, virtual reality, and computer-brain interface. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Dan Diasio, Global Artificial Intelligence Leader at EY Consulting. Dan has spent the last two decades leading data and AI initiatives at the legacy financial services firm. He joins Emerj CEO and Head of Research Daniel Faggella to talk about the challenges unique to legacy institutions in starting AI projects and laying the groundwork for organization-wide transformations from effectively cultivating data. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today’s guest on the ‘AI in Business’ podcast is Chief Medical Officer, Chief Learning Officer, and Co-Founder at Reulay Inc., Dr. Srini Pillay. He joins Emerj CEO Daniel Faggella on our special ‘AI Futures’ series to discuss the capacity for virtual and augmented reality technologies to alter emotional states in users. While they look far into upcoming possibilities, the truth is this technology is here in a plethora of use cases Dr. Pillay and Daniel discuss in depth. Later, Srini explains the challenges in customizing virtual experiences for individual users. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today's guest is Supreet Kaur, Assistant Vice President at Morgan Stanley. She's spent the last five years working in data spaces across financial services and life sciences, along with essential advocacy work in mentoring a diverse next generation of data science leaders. In conversation with Emerj CEO Daniel Faggella, Supreet tells business leaders three metrics they need to measure their enterprise AI success. Later, they dissect common approaches to ROI from leadership and IT teams that are at odds with AI adoption's experimental nature. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today’s guest is Nir Eyal, Stanford professor and the author of Hooked: How to Build Habit-Forming Products. In conversation with Emerj CEO and Head of Research, Nir digs deeper into the potential of VR and generative AI to reinforce good and bad habits from the products we use. Once we reach the point of immersion with these technologies, Nir points out on the podcast, their ability to influence our behavior will be enormous. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Ilke Demir, designer of FakeCatcher and Senior Staff Research Scientist at Intel. FakeCatcher is a new AI-powered deepfake video detection tool developed by Intel. In conversation with Emerj Senior Editor Matthew DeMello on the podcast, Ilke explains the science behind Intel's new deepfake detection technology and its many applications for both individual journalists and media enterprises. Later, she talks about how her research has illuminated even deeper mysteries behind the question, "What makes us human?". Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Lambert Hogenhout, Chief of Data, Analytics, and Emerging Technologies at the United Nations. Lambert is also a project lead with A Future in AI – a nonprofit focused on fostering a dialog between youth, tech leadership, and global policymakers on the nature and implications of AI. In conversation with Emerj CEO and Head of Research Daniel Faggella, Lambert explains the dangers of personalized virtual worlds and how best to think of the relationship between humanity and technology going forward. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is the Head of Research at Bloc Ventures, David Pollington. Bloc Ventures is an investment firm known for its early-stage entrances and lucrative exits in deep tech. In conversation with Emerj CEO Daniel Faggella, David talks about how the barriers to entry for serious data analytics use cases are lowering to startups. He cites a growing interest from industrial sectors in overcoming challenges in limited data as a driving force behind the trend. Later, they discuss the economic viability of one learning method surrounding the commercialization of limited data problems. Discover more AI use cases, best practice guides, white papers, frameworks, and more by joining Emerj Plus at emerj.com/p1.

Today’s guest is Mark London, Chief Risk Officer for Abound, formerly known as Fintern – a startup specializing in data-driven approaches to small consumer loans. In conversation with Emerj CEO and Head of Research Daniel Faggella, Mark talks about the differences in small and large consumer loans from a data perspective and how lenders can decrease their risk without treating credit scores as the end-all-be-all. And later, they discuss new business opportunities coming from the democratization of data and how long it will take before legacy financial institutions can truly reap the benefits. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Remi Duquette, Vice President of Innovation and Industrial AI at Maya HTT. Short for Maya Heat Transfer Technologies, Maya HTT is a leading software developer and engineering services provider with nearly 200 employees based in Chicago and specializing in heavy industry solutions. In conversation with Emerj Head of Research Daniel Faggella, Remi explains the growing importance of real-time telemetry data for preventing unplanned downtime in heavy manufacturing spaces. The real challenge, Remi emphasizes, is in honing the data to give business leaders a singular real-time picture of their activities relative to their business challenges. This episode is sponsored by Maya HTT. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Dorothy Li, Chief Technology Officer of Convoy, a logistics and software company based in Seattle that has raised nearly a billion dollars in funding. Dorothy spent over a decade at Amazon, where she served as vice president of user experience, then of BI and analytic services at AWS. Together with Emerj Head of Research, Daniel Faggella, Dorothy explores a logistics use case for AI capabilities in predictive inventory and the impact it is having on manufacturing writ large. Still, there are many challenges, among them that truckers and freight carriers don’t have the equipment (mobile apps, GPS) that other last mile and delivery workers have. Later, they examine where AI can be applied to help schedule deliveries to avoid unplanned downtime. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

Today’s guest is Emily Bremner, Fractional Product Leader and Advisor. Emily was the SVP of Product at Signal AI, a software company specializing in external intelligence with over $100 million in funding at the time of this episode’s recording. In conversation with Emerj’s Head of Research, Daniel Faggella, Emily talks about how AI can not only help companies manage their internal data but also process data from their external environment to find insights into risks and opportunities. Later, she dives into use cases for strategic reputation management, citing how interactions between larger institutions and the media can impact investment risk to tax and regulatory compliance. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Dr. Peter Day, Chief Technology Officer at Quantcast. Quantcast is a technology firm founded in 2006, working in AI-driven audience metrics and advertising from the industry's earliest days. In conversation with Emerj CEO Daniel Faggella on the AI in Business podcast, Peter offers a tour of his experience building successful AI teams. From recruitment and hiring to finding the proper dynamics with early adoption stakeholders – what does it take to get the right people in the right "seats on the bus"? Peter answers that question and more, offering guidance and best practices, especially for business leaders outside the AI world from non-tech organizations and industries. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Scott Nowson, Artificial Intelligence Leader at PwC Middle East. Scott has a Ph.D. in natural language processing and has worked for many years before PwC as a consultant for legacy enterprises looking to get started in AI. Not long ago, the AI in Business podcast featured episodes discussing how to hire and build AI teams, focusing on crucial insights most helpful for non-technical business leaders. In today’s episode, we explore the topic from the other side of the table, mining Scott’s technical expertise for what makes successful AI adoption teams best work together. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Caroline Gorski, CEO of R² Factory – a data and tech-focused subsidiary of Rolls Royce. In conversation with Emerj CEO Daniel Faggella, they discuss being a new kind of company underneath a century-old legacy luxury name brand in heavy industry and the benefits of creating a separate experimentation-first culture within a big enterprise. Is it possible to develop subcultures that can do that kind of nimble innovation? Where do people feel brave enough to innovate and experiment in ways that foster legacy business? All are easier said than done – but Caroline shares hands-on experience testing strategies that work in person throughout the podcast today. To access Emerj’s non-technical guide for getting started with AI deployment, check out emerj.com/beg1.

Today's guest is the Director of Engineering, Telecommunications Orchestration, Analytics, and Automation at Google, Mazin Gilbert. Mazin's career is one that has seen its fair share of enterprise teams facing the challenges of legacy data stacks as they enter the age of AI, including AT&T. In discussing his work at Google with Emerj CEO Daniel Faggella, he talks about what he sees on the 'other side of the fence' in a tech company environment. He also shares critical insight on the difference both cultures need from leadership to achieve successful ROI. If you've enjoyed or benefited from the strategies shared in this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is VP and Chief Supply Chain Executive at Westfall, David Schultz. Westfall is a contract manufacturing firm based in Las Vegas, Nevada, working primarily in plastics and resins. First, David and Emerj CEO Daniel Faggella break down challenges specific to procurement and what makes the process so consequential to manufacturing processes. Later, they examine what the 'guessing games' of future manufacturing variables will look like when better informed by AI-derived insights. This episode is sponsored by Arkestro. To learn more about how brands work with Emerj and other Emerj Media options, visit emerj.com/ad1.

Today's guest is Aktana Chairman and CEO David Ehrlich. Aktana is an AI vendor that helps life science commercial teams go to market with their products. On the AI in Business podcast, David talks about the challenges that marketing and product teams face in getting pharmaceuticals in the marketplace and where these challenges overlap with broader industry applications in banking and retail. Later, he and Emerj CEO Daniel Faggella discuss where AI adds value to the process in unique use cases and what gives life science commercial teams the highest chances of success in adopting AI. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Executive Director, Global Deloitte AI Institute & AI Ethics/Tech Ethics Leader, Beena Ammanath. Beena is the author of the book Trustworthy AI and previously served in tech leadership roles at Hewlett Packard, Bank of America, and General Electric before arriving at Deloitte in 2019. In her conversation with Emerj CEO Daniel Faggella, Beena pulls apart putting AI ethics in action at medium and large enterprises in ways that genuinely serve to solve business goals and customer problems. Beena also offers a measurable process for screening out downsides and advice on who needs to be in the room to have realistic conversations about AI ethics. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is the Head of Artificial Intelligence at Maya HTT, Remi Duquette. In today's episode, Remi talks about computer vision or what people imagine when they think about computer vision through a distinctly human lens. With Emerj CEO Daniel Faggella, Remi especially pulls apart how machines can look at things in ways that humans can't, as it turns out. They also discuss tools in job vision, listening, and how to go beyond the human senses to be able to drive manufacturing results in predictive maintenance and improving output quality. This episode is sponsored by Maya HTT. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Symphony AI CEO Sanjay Dhawan. Sanjay took the helm of Symphony last year after leading the automotive AI firm Cerence since 2019. On the AI in Business podcast, Sanjay discusses insights on using highly defined business outcomes to frame up how fast to scale enterprise data strategies, citing examples in banking and CPG. Together with Emerj CEO Daniel Faggella, Sanjay also dissects the different ways the workflows therein can change for startups and legacy enterprises so that each can judge whether a deployment is right for them. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is the Head of Research at Bloc Ventures, David Pollington. Previously, David spent nine years leading web services and developing collaborative platforms for GSMA before joining Bloc Ventures, a VC firm based in London that invests in many early technologies based on AI. On the AI in Business podcast, David discusses the possibility of 'complete autonomy' in machinery across several heavy industries — construction, mining, and manufacturing among them. That means machinery in need of no human intervention to complete tasks in these fields. Looking years into the future, David also answers vital questions on what the processes and data infrastructure will look like for such a transition. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is VP of Strategy and Offerings at IBM, Marisa Viveros. 5G is a widely misunderstood technology that most might associate with mobile connectivity and telecoms spaces. Still, it stands to make a tremendous impact on a broad spectrum of industrial sectors underneath the surface of its reputation. Marisa joins us to separate fact from fiction and tell business leaders precisely what they need to understand about 5G, what it means in simple terms, and what it allows for new capabilities on the telecommunications grid. Later in the episode, she and Emerj CEO Daniel Faggella look to the future with new use cases showing the new customer insights to be unlocked in combining emerging AI capabilities with 5G's potential. 

Today’s guest is Divyabh Mishra, Founder & CEO at CrowdANALYTIX. In conversation with Emerj’s CEO Daniel Faggella, Divyabh talks about the business challenges in the eCommerce space when it comes to collecting and ensuring the accuracy of product data in high-volume product databases. Among these problems is that retail itself remains plagued with arcane technology, and Divyabh discusses the many potential applications of AI in making these legacy systems more intelligent — in particular: more efficiently loading product data and ensuring the accuracy of searches for the highest quality eCommerce customer experience from the user’s perspective. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Christian van Leeuwen, CSO and Co-Founder of FRISS. His company accrued over $88 million to fund a workforce of 200 employees focused on claims underwriting, investigation, and working with the biggest names in the insurance space. In today’s episode, Christian talks about insurance leaders’ trends in underwriting and claims over the last few years since COVID: what is changing, what they see more of, and what new challenges they are facing. Then later, he and Emerj CEO Dan Faggella pick apart a big-picture concept that FRISS insiders refer to as trust automation. This episode is sponsored by FRISS. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Aditya Ramesh, Creator of DALL·E, Co-creator of DALL·E 2 at OpenAI. You might already be familiar with how the DALL·E platforms have taken the internet by storm in the past year with their ability to turn text into images in any style the user can imagine. Ramesh discusses how the technology works in layman’s terms and sets the stage for where individuals and organizations can take the platform into the future as a ‘creative co-pilot’ to their work. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today’s guest is Edmund Zagorin, Founder of Arkestro. Edmund founded Arkestro in 2017, and the company now operates in several industries in addition to the automotive space. In this episode, Edmund discusses two main topics: First, what makes the automotive purchasing process so complex, from buying electronics to seat fabric, the chassis, the tires, and onward. Secondly, Edmund pulls apart the many AI applications in this process and the data needed to help business leaders make more intelligent decisions about who we buy from, the pricing we’re paying for, and the past purchasing activities of our organizations. This episode is sponsored by Arkestro. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Chris Joynt, who served as AIoT Co-Innovation Leader in the Solutions Group at PTC at the time of our recording. In today’s episode, Chris walks the audience through some actual applications of artificial intelligence and IoT in the enterprise. In addition to explaining some of the most important lessons learned for leaders, including a frank discussion on how to think about getting started on these projects when so much can go wrong when it comes to sensors and data streams out in the real world. This episode is sponsored by PTC – more here. To learn more about Emerj Media and how to reach the Emerj audience, visit emerj.com/ad1.

Today’s guest is Sean Gourley, CEO of Primer, a company that has raised $170 million for pioneering large-scale data analysis. In today’s episode, Sean discusses how China’s autocratic regime has certain advantages in developing AI capabilities in the theaters of cyberwarfare and virtual reality. Throughout the conversation, Sean offers his expertise advising how the West can maintain its strategic advantage in these technologies and for how long. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Christian Floerkemeier, VP of Product, CTO, and Co-Founder of Scandit. Scandit is an AI firm focused on smart data capture and barcode scanning. Christian received his Ph.D. in Computer Science in Zurich and was the Associate Director for the AI ID Lab at the Massachusetts Institute of Technology. In this episode, Christian focuses on this retail workflow of checking inventory and prices. He speaks about where AI might not only help speed up that process but also potentially improve the experience of the individual employees working there. Christian provides interesting computer vision use-cases and efficiencies and provides practical adoption advice for business leaders. This episode is brought to you by Scandit. To learn more about reaching Emerj’s global audience via audio, email, or otherwise, visit emerj.com/ad1.

Today’s guest is Kelly Harlin, Director of Solutions Marketing and Commercialization at Sharp NEC. Sharp and NEC collectively have approximately 160 thousand employees as two of Japan’s largest electronics manufacturers. Kelly speaks specifically about their computer vision applications in retail in this episode. She opens up with some information retailers wish they knew about people who shop with them physically and in person. Secondly, Kelly discusses what AI can collect about a user, from the cost of their shoes to how they walk, and how this data can inform people responsible for marketing to their audience in different geographic regions where diverse customers will require different responses and approaches. Access a vast collection of use-cases for AI applications and trends in retail and more at emerj.com/ret1.

Our guest today is Christian Floerkemeier, VP of Product, CTO, and Co-Founder of Scandit. Scandit has raised nearly $300 million to address smart data capture, they have hundreds of employees, and logistics and supply chain is one of the spaces in which they operate. In today’s episode, we’re focusing on two different use-cases that share the use of computer vision. First, we discuss ID verification applications in alcohol delivery services, followed by increasing efficiency in loading and unloading trucks in supply chain juncture points with computer vision. Christian details how these two use-cases work in terms of where the computer vision is being leveraged, how the data is stored, and the realities of adoption. This episode is brought to you by Scandit. To learn more about Emerj Media and how to reach the Emerj audience, visit emerj.com/ad1.

Today’s guest is Mazin Gilbert, Director of Engineering, Telecommunications Orchestration, Analytics, and Automation at Google. Some five or six years ago, Mazin joined us to discuss artificial intelligence in telecommunications when he was with AT&T. Since this last episode, AI has become inevitable in the telco space with substantial AI deployments across the industry. In this episode, Mazin first speaks about what he’s observed in the telecommunications world that he considers some of the early signs of change in data infrastructure and the fruitful use of AI. He then dives into where artificial intelligence is currently adding value to the telco industry. To discover critical AI applications and trends, download our whitepaper “3 Ways to Discover AI Trends” at emerj.com/t3.

Our guest on today’s episode of the AI in Business podcast is VP of Artificial Intelligence at Samsung SDS America Patrick Bangert. Patrick discusses the efficacy of making minimal workflow changes a goal from the start and how the AI capabilities pioneered at Samsung have made their way to widespread success for other enterprises. In particular, Patrick gives actionable insight into how minimizing change management friction benefits end users — and why the way people and systems work together remains much more complicated even than machine learning. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

This week we’re continuing our series on artificial intelligence in compliance. Our guest is Thomas Mangine, Director of AML and Risk Reliance for the Bank of Montreal. In this episode, Thomas shares his unique perspective on staying ahead of adversaries from financial services and defense points of view. He also discusses how data is becoming more valuable and what particular kinds of data are creating new opportunities for emerging forms of AI capabilities. Thomas also details several unique compliance-related use cases and circumstances regarding concerns about sanctions. This episode is part of our broader series on compliance brought to you by Smarsh. If you haven’t already, be sure to tune into the previous episodes in this series at podcast.emerj.com to discover more key insights from leaders in the industry.

Our guest on today’s AI in Business Podcast episode is VP of Product & Partnerships at OpenAI Peter Welinder. He and Emerj CEO Daniel Faggella discuss the potential impact of the model on numerous sectors, along with the possibility that these tools could have unforeseen consequences when placed at everyone’s fingertips. In other words, GPT-3 could unleash many examples that show what we think we want from AI capabilities is not what we actually want. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

Today's guest is General Manager of Artificial Intelligence & Innovation at Microsoft David Carmona. David shares his experience at the frontlines of AI enterprise adoption at a legacy tech brand, and all the setbacks they faced along the way. David also discusses how his team found management buy-in on AI capabilities through effective education and developed the kind of long-term strategy necessary to lay the groundwork for organization-wide digital transformation. If you are interested in more interviews about the future of artificial intelligence across industries, check out the AI Futures Series on AI in Business podcast on all major platforms at emerj.com/podcast.

Today's guest is Jackson Hull, former COO of OakNorth, a unicorn company recently listed in Forbes as Europe's most valuable fintech. In a financial services-focused discussion that echoes the theme of our recent Monday series on AI success factors, Jackson highlights a use case in helping banks analyze the risk of their loan portfolio. Jackson also advises business leaders on what they should keep in mind when deploying early AI projects, particularly for those enterprises with uniquely high levels of external demand. If you find yourself benefiting from the insights in today's episode, consider supporting us by leaving us a five-star review on Apple Podcasts and telling us what you’d like to hear more about in future episodes.

Today’s guest is Arcangelo Grisi, Head of Market Surveillance for the U.S. at HSBC. As one of the largest financial services organizations in the world, HSBC generates approximately $50B in revenue per year. In this episode, Arcangelo explores the monitoring of trades regarding manipulating the markets and monitoring communications. He goes into detail about how challenging and essential this role really is within the enterprise. This episode is part of our broader series on AI and compliance sponsored by Smarsh. Smarsh has given us a broad mandate to reach AI experts in the domain of compliance and learn their best practices for adopting the technology. To learn more about sponsored content and how to engage with the Emerj audience, visit emerj.com/ad1.

Today’s guest is Dr. Krishna Bulusu. Holding a Ph.D. from the Institute of Cancer Research and completing his post-doctoral research at the University of Edinburgh, Krishna was, until recently,  an Honorary Lecturer for the Department of Neuroscience at the University of Sheffield. Krishna has worked at Astra Zeneca for the last six years and is currently the Director of Early Computational Oncology. In this episode, Krishna discusses how we can more effectively leverage endless streams of data in the life sciences industry to develop drugs and treatments with knowledge graphs. He also shares his perspective on the current impact of AI and where and how knowledge graphs are impacting workflows today. This episode is part of our AI is Here series sponsored by SambaNova Systems. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today’s guest is Chris MacDonald, Head of AI and Analytics at PTC. PTC is a multibillion-dollar software firm focused on the service operations industry, and Chris speaks with us this week about the AI adoption journey for folks in service operations. In this episode, we discuss what it looks like for companies to ensure their customers get as much value out of their products as possible while simultaneously collecting data and learning how to improve future products. Chris highlights the importance of ensuring data quality and working as a team in this process. He also shares some of the unique elements of this particular life cycle of a product that is created and then shipped off and put under someone else’s control but continues to be monitored and improved by the manufacturer. This episode is brought to you by PTC. To discover more service-related insights from Chris, tune in to PTC's Speaking of Service podcast. For more information about Emerj Media and sponsored content opportunities, visit emerj.com/ad1.

Today’s guest is Kai Schrimpf, Global Head of Transaction Monitoring at UBS. UBS is a financial services organization doing more than $35 billion in annual revenue based in Zurich and Basel, Switzerland. In this episode, we dive into compliance in the banking and financial services space. There are three distinct topic areas in today’s episode. First, Kai provides a big-picture perspective on the state of compliance in banking and financial services today and current workflows that could be leveled up. Secondly, he discusses specific use-cases and describes areas where he sees data ‘wake up’ in terms of its value for keeping firms in line with regulatory standards. Lastly, Kai shares some business advice for enterprise leaders and speaks about what business leaders should know before adopting artificial intelligence in a financial services organization. This episode is part of a series sponsored by Smarsh. In this series, we’re focusing on bringing on global experts in compliance to get varied perspectives on where AI and data are adding value today.

Today’s guest is Neil Sahota, CEO of ACSI Labs and Chief Innovation Officer at the UC Irvine School of Law. Neil previously worked with IBM for 12 years as a Master Inventor focused on developing new patents with a particular emphasis on big data and analytics. In this episode, we are focused on the legal space. In the first part of this episode, Neil dives into specific use-cases that highlight where AI is impacting law today. He discusses several applications that lawyers, law firms, and legal departments at large enterprises use today with high traction. In the second part of this episode, Neil shares his perspective of the areas in the legal world that he believes are most likely to be disrupted by AI in the next five years. Regardless of industry, Neil provides critical insights about what the future might hold for certain kinds of processes and workflows that are most likely to be automated.

In this episode, we’re focusing on compliance considerations in the insurance world. Our guest this week is Pardeep Bassi. He is currently Global Proposition Leader of Data Science for WTW, or Willis Towers Watson, a publicly traded financial services firm based in the United Kingdom. This week Pardeep covers two different topics with us. First, he discusses some areas where regulation intersects with AI applications in insurance and what the potential data risks for elements such as transparency, personal data use, etc., are. Secondly, Pardeep dives into how leaders might consider these regulatory rules in their adoption strategy. Not only to meet regulatory compliance rules but also to potentially use AI to address them. This episode is brought to you by Smarsh and is part of a broader series on AI applications for compliance and communications intelligence. To learn more about how to reach Emerj’s global executive audience with Emerj Media, visit emerj.com/ad1.

Today’s guest is Marshall Choy, Senior Vice President of Product at SambaNova Systems. This episode is part of our AI is Here series, where we’ve talked about the current impact of AI across industries with practitioners and leaders across the United States and Europe. In this episode, we’re focusing on AI adoption trends and what successful AI adopters are doing that others aren’t. Marshall discusses the trends he’s noticed in enterprises adopting AI well from a team perspective, a technology perspective, and a decision-making perspective. He also speaks about some of the differences between the American and European AI ecosystems and what European business leaders may potentially want to consider. This episode is brought to you by SambaNova Systems. To learn more about the AI is Here initiative and to learn more about how you might reach Emerj’s global audience, visit emerj.com/ad1.

Today’s guest is Aakash Indurkhya, Co-Head of AI at Virtualitics. Virtualitics is a venture-backed firm based in Pasadena, California. In this episode, we discuss what it means to explore our data and identify where the gaps in our data quality or potentially the gaps in essential data fields are. Aakash speaks to us this week about not only what exploration, that is to say, why it’s valuable conceptually – when dealing with tremendous volumes of data, what does exploration accomplish, and where specifically, better exploration can lead to better results? He dives into two specific use-cases, one in drug development and one in retail. While these are vastly different worlds, these use-cases focus on exploring data well to train an AI model and deliver the desired results in the enterprise. Aakash provides an excellent conceptual overview from a C-suite vantage point of the role. Virtualitics sponsor this episode. To learn more about reaching Emerj’s global executive audience and sponsored opportunities, visit emerj.com/ad1.

Today’s guest is Mark Russinovich, CTO of Microsoft Azure. In this episode, we focus on large language models, and Mark speaks with us about two distinct topics. First, he discusses actual, in-the-field applications of large language models today. Mark goes over several of them, but one use-case with Carmax is particularly useful for natural language generation in an enterprise use-case. Secondly, Mark talks about what he would recommend for enterprise leaders who would like to look at their own business and identify where they can apply the value of large language models within their enterprise and the particular workflows that might be optimal for LLMs. This episode is sponsored by Kisaco Research. This year, the Kisaco Research AI Hardware Summit takes place from September 13th through September 15th at the Santa Clara Marriott in California. Mark is among many distinguished speakers, including infrastructure and AI leaders at Meta, Wells Fargo, Salesforce, and more.

Today’s guest is Brandon Carl, EVP of Product Strategy at Smarsh. Smarsh is a substantial player in the compliance domain in financial services, and in this episode, we’re focusing on AI applications in compliance for the industry. Brandon discusses three critical points in this interview. First, he discusses what kind of communications data may serve as financial crime signals or, in other words, what varieties of communications data we should pay attention to. The second point Brandon focuses on is how we can use that data to unlock value and detect financial crime with AI. Lastly, he speaks about how leaders can find the low-hanging fruit in their own communications data. This episode is the first of a sponsored series here on The AI in Business Podcast by Smarsh. Be sure to tune in on Thursdays to gain more insights about compliance and communications intelligence with new episodes of this series.

Our guest today is Richard Schak, Senior Technical Account Manager, and Fraud Product Strategy Consultant at Datavisor. In this week’s episode, Richard discusses two key topics: how payment processing fraud is detected with AI and what these workflows look like before and after AI is applied. Richard also shares a specific perspective about where data and algorithms fit into the mix and emphasizes the importance of “lighthouse projects,” or the early projects that can be used to prove potential ROI to get leadership to approve larger projects and enable enterprises to level up fraud detection as a capability. This episode is brought to you by Datavisor. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today we are focusing on the domain of data collection and quality. Our guest is Christian Rozsenich, Managing Director of Clickworker. In this episode, we talk about a few topics broadly applicable to any industry. The first is the general challenges and importance of data quality and data harmony for AI projects. Christian details the kinds of issues enterprises are running up against and how they can diagnose their own data needs. The next topic we highlight is real-world use-cases of computer vision and computer voice. Christian explains how data is collected and processed for crowdsourcing applications and more. This episode is sponsored by Clickworker. To learn more about Emerj Media and how to reach our global executive audience, be sure to visit emerj.com/ad1. 

Today’s guest is Caroline Gorski, Chief Executive Officer for R2 Factory at Rolls-Royce. As the world’s second-largest aircraft engine maker, Rolls-Royce makes all kinds of large and heavy machinery that require numerous parts. In today’s episode, we explore the questions of how to source those necessary parts and leverage AI to achieve greater transparency in our supply chain. Caroline discusses where AI is making a dent in the industry today. She also provides a glimpse into the future with her perspectives on how companies will deal with supplies and how outside data sources might affect the supply chain and, consequently, estimated arrival dates for various parts from vendors around the world. This episode is part of our AI is Here series sponsored by SambaNova Systems. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today, we’re diving into AI and its applications in the energy sector. Our guest is Andrey Konchenko, Senior Product Manager at DroneDeploy. Andrey previously spent fifteen years at Schlumberger, a gigantic firm with 100k+ employees in the energy sector, and he now works on drones, robotics, and computer vision at DroneDeploy. We discuss three main topics in today’s episode. First, what has made artificial intelligence relevant for business leaders in the energy sector now? Second, we explore individual use-cases for ground robotics, flying robotics, and some novel computer vision applications. Lastly, Andrey provides adoption advice for leaders who are considering this technology in the energy space. This episode is brought to you by DroneDeploy. To learn more about reaching Emerj’s global audience, visit emerj.com/ad1.

In this week’s episode, we’re discussing a topic that applies across industries for AI projects: where is the data coming from? Our guest is Dora Boussias, Senior Director for Data Strategy and Architecture at Stryker. Stryker is a $17B per year company in the medical device space. She discusses the process of building out a data strategy with a key emphasis on the right questions to ask, such as: how can we organize and focus our vision and efforts to be able to unlock the data that’s likely to be the most valuable for today’s projects and for the future of AI projects as well? The opinions in this episode are the guest's personal opinions and do not represent Stryker's opinions in any way. If you’re interested in accessing Emerj’s best practices and frameworks for AI ROI, AI strategy for building AI roadmaps, and our full library of AI use-cases, you can learn more at emerj.com/p1.

This is another episode in our AI is Here series. We’ve covered all sorts of industries in this recent series, from financial services to oil and gas, but we’ve yet to touch on defense. Our guest today is Jared Dunnmon. Jared is a Ph.D. from Stanford in Artificial Intelligence and is now the Technical Director of AI and Machine Learning for the Defense Innovation Unit (DIU). In this episode, we explore two key themes: individual use-cases and capabilities that are becoming important and the adoption of AI in the defense industry today. Jared highlights how we can find patterns in data in the world and the must-knows in the enterprise to get AI off the ground. This AI is Here episode is brought to you by SambaNova Systems. To learn more about Emerj Media and how to engage with the Emerj audience, visit emerj.com/ad1.

Today we’re discussing the topic of leveling up software tools with AI capabilities. Our guest is Matt Berseth. Matt is the CIO and one of the co-founders of NLP Logix, an AI services firm. A few weeks ago, Matt joined us to discuss the analogy of pizza vs. lasagna or what it means for AI to go from playing at the surface to become part of a software solution. In this episode, Matt gives examples of this transformation happening in the real world. Matt discusses where existing software solutions have been leveled up in terms of what they can deliver for value to both the end-user and the organization leveraging it in the public and private sectors. This episode is brought to you by NLP Logix. If you’re interested in learning more about reaching Emerj’s global audience, visit emerj.com/ad1.

Today’s episode is the fifth and final part of our series on building an enterprise AI strategy. Our guest is Richard Benjamins, Chief AI & Data Strategist at Telefónica and author of “Data-Driven Company.” Telefónica is a $40B firm and one of the largest in the telco space in the EU. In this episode, Richard emphasizes the importance of how we collect and handle data at an enterprise level in a way that enables us to support strategy-building. He also shares his opinion on including ethics and governance as part of the strategy-building process and discusses using smaller projects to construct bigger-picture momentum to finalize a strategy. If your company is getting started with AI, download our free guide, “Beginning with AI: 3 Critical Insights for Non-Technical Executives,” at emerj.com/beg1 to learn more about the practical steps for initial AI adoption.

Today is episode four of five in our series, where we’re focusing on enterprise AI strategy. Our guest today is Adam Bonnifield. Adam is the CEO of Konux, an AI firm based in Germany. One of the key takeaways Adam emphasizes in this episode is that strategy is as much about what you’re not going to do as what you are going to do. He frames the processing of brainstorming about strategy and identifying opportunities in a way that focuses on the things that truly matter. Another critical point Adam makes is the benefit of addressing your enterprise’s existing problems rather than a novel application when it comes to strategy. Adam describes what this looked like within Airbus with lessons that are transferable to any other enterprise. Finally, we discuss the Trinity Model for AI ROI, a tool within Emerj Plus. To learn more about Emerj’s frameworks for AI readiness, ROI and strategy, visit emerj.com/p1.

Today we dive back into our series on AI strategy and have two more days of episodes coming this week. Today’s guest is Sankar Narayanan, Chief Practice Officer at Fractal. Fractal is a unicorn company working on AI-related projects across industries and is well-known for its work in CPG and several other sectors. In this episode, Sankar explores three critical topics in great depth: finding the correct problems, having a long-term mindset, and building with the user in mind. In particular, being able to consider a less successful project and work backward to create a new process with a much larger likelihood of a user taking it, running with it, and converting it into ROI is one of the most salient points for this interview. He also emphasizes that it’s not about whether the algorithm works or we have the data but whether someone will use it. To access Emerj’s frameworks for ROI, strategy, and more, visit Emerj Plus: emerj.com/p1.

Today’s guest is Anand Mahurkar, CEO and Founder of Findability Sciences. Based in Boston, Findability Sciences has done a lot of work in the ERP space across different sectors. In this episode, Anand discusses some of the challenges of data access and multiple use-cases for how current ERP data can provide predictive value for estimating demand and customizing prices for different products. Anand also unpacks the importance of ERP and where it’s going in the future. This episode is brought to you by Findability Sciences. If you’re interested in learning more about reaching Emerj’s global audience through our podcast, email, and more, visit emerj.com/ad1.

This is episode two of five in our series on AI strategy, and today, our guest is Bret Greenstein, Partner at PwC. Bret has worked at many of the largest consulting companies in the world, and he now leads AI efforts at PwC. This special series focuses on building an enterprise AI strategy to align departments and efforts with striving for a long-term and near-term ROI. One of the main themes Bret discusses in this episode is the importance of executive fluency for assessing and building skills. Brett also gives his perspective on balancing a variety of small, disjointed AI projects distinct from business operations and connecting them so that strategy can come to life. Visit emerj.com/beg1 to learn more about the practical steps for AI deployment for non-technical professionals. 

This week we are diving into the topic of AI strategy with a new series devoted to exploring how to build an enterprise-wide AI strategy and align company efforts to optimize long-term ROI while still seeing an immediate return with leaders at top companies. To start the series, we welcome back David Carmona. David is the General Manager for Artificial Intelligence and Innovation at Microsoft. In this episode, David speaks about how Microsoft didn’t get its AI strategy quite right initially and what they learned from their approach. The critical takeaway he shares is educating leadership to bring everyone to a level of solid conceptual understanding of AI. He explains how this educational element became a crucial underpinning for how they turned things around and built a strategy that can help inform where they are going as a company. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and more resources, visit emerj.com/p1.

This is another episode in our AI is Here series, and today, we’re focusing on AI in the hospital setting. In this episode, we discuss patient data and being able to guide a patient’s treatment journey with artificial intelligence. Our guest is Dr. Kostas Papagiannopoulos. Kostas is an Honorary Senior Lecturer at Leeds University and serves as Thoracic Surgeon for Leeds Teaching Hospitals. He is also a Medical Advisor to several substantial medical device companies and, until recently, was President of the European Society for Thoracic Surgeons. In today’s episode, Kostas discusses where he’s seeing AI make its way into the hospital setting and some of the critical barriers to adoption, and how leaders should overcome them. This series is brought you to by SambaNova Systems. SambaNova believes that AI is here, and we’ve partnered with them to bring you leading experts across industries to discuss where AI is making an impact today.

In this episode, we’re focusing on the theme of artificial intelligence in the manufacturing industry. Today’s guest is Scott Everett, CEO and Co-Founder at Eigen Innovations Inc. Scott discusses a variety of use-cases and ends this episode with some critical insights for our listeners working in the manufacturing space and some key adoption lessons that are transferable across industries for our listeners working in other sectors. This episode is sponsored by AI Partnerships Corp (AIP). AIP represents a network of 125 companies in AI and emerging technologies and serves as a matchmaker between buyers and sellers in the space. To learn more about AIP, stay tuned until the end of this episode. If you’d like to learn more about Emerj Media and how to reach our global executive audience, visit emerj.com/ad1.

Today’s guest is Christophe Makni, Head of Business Operations at Migros Bank. Christophe shares a few key insights in this episode, starting with where natural language processing is finding a fit in banking today and the real deployments in the world. Secondly, he provides straightforward advice on identifying the low-hanging fruit for natural language processing and, in particular, document processing. Finally, towards the end of this episode, Christophe shares his ideas on encouraging adoption and some critical lessons he’s learned through real adoption experiences. This episode is part of our ongoing AI is Here series. We have partnered with SambaNova to bring you this special series featuring AI leaders across industries to discover where AI is making an impact today. Make sure to tune in to the rest of the series here on The AI in Business Podcast on your preferred podcast platform.

Today’s guest is Nick Pilkington, CTO of DroneDeploy. We’re focusing on clean energy in this episode, and Nick walks us through how artificial intelligence is becoming more relevant in the renewable energy sector. He goes in-depth about where drones and AI serve to improve processes and safety for residential solar and EV charging companies. In the past five years, there’s been a lot of change in the energy sector, and Nick provides his perspective on where the future is taking us, including what kinds of new capabilities drones and machine learning can bring to bear. This episode is brought to you by DroneDeploy. To learn more about Emerj Media and how to reach our global executive audience, visit emerj.com/ad1.

Today’s guest is Sanjay Chopra, CEO and Founder of Cognistx. Based in Pittsburgh, Cognistx is a firm that works with propane and commodities distributing companies. In this episode, Sanjay discusses the problem with the inefficient delivery of propane. He also provides a lot of detail on the importance of data in terms of what kind of data we need to track and how it can be used to unlock value. Sanjay also shares his perspective on what this particular AI application might mean for the future of transportation and delivery of other commodities beyond propane. This episode is sponsored by Cognistx. If you’re an AI vendor and would like to know more about working with Emerj to reach a global executive audience, visit emerj.com/ad1.

Today’s guest is Peter Tu, Chief Scientist for Artificial Intelligence at GE Global Research. In this episode, Peter provides a full-circle perspective on how data can inform maintenance processes and optimize specific outcomes. He also discusses some of the challenges in bringing these applications to life and some of the obstacles that GE has had to overcome. Peter speaks about these challenges as transferable lessons across different elements of heavy industry that have really made AI start to come to life. This episode is part of our special AI is Here brought to you by SambaNova Systems. SambaNova believes that AI is here, and we’ve partnered with them to bring you leading experts in varied industries and discuss where AI is hitting the ground running today.

Today’s guest is Emmanuel Walckenaer, CEO of YSEOP. In this episode, we discuss two core questions: first, how are enterprise leaders measuring the success of AI programs that are being used to augment human productivity? The second question is about where humans fit in the loop. In other words, why are humans still critical for certain kinds of workflows and decision-making processes? Emmanuel discusses the concepts of accountability and transparency and how those themes fit into humans’ role as orchestrators of AI in the enterprise. He also gives his perspective on where he sees augmentation happen in the life sciences space while discussing several of YSEOP’s use-cases applicable in other industries. Our sponsor of today’s episode is YSEOP. If you’re interested in reaching Emerj’s global audience, be sure to visit emerj.com/ad1.

Today’s guest is Arun Iyengar, CEO at Untether AI. Untether is a semiconductor firm based in Toronto, but with employees all over North America, including Silicon Valley. Arun previously worked with AMD, another major hardware and software firm in the Bay Area, before stepping into his current CEO role at Untether AI. In this episode, Arun shares some insight on the potential use-cases for video processing with artificial intelligence and some of the existing barriers for AI hardware, and how we might potentially overcome them. He also provides a perspective on where hardware is taking us into the future. There are a lot of use-cases for AI on the edge and there are a lot of new use-cases for video and image data – how can hardware play its part in being able to not only reduce the compute and financial cost of video processing but also open up new capabilities and enable businesses to do things that they couldn’t do before? This episode is brought to you by Untether AI If you’re interested in reaching Emerj’s global audience on the biggest B2B AI podcast on the web, be sure to visit emerj.com/ad1.

Today’s guest in our second episode of the AI is Here series is Gero Gunkel, COO for Zurich Customer Active Management at Zurich Insurance. He was formerly the company’s Global Head of AI. In this episode, Gero provides his perspective on the accessibility of NLP applications in insurance and where it’s making a difference today. Gero also gives a good idea of why that is, what use-cases he’s seeing make a dent today, and connects those thoughts to what the future of insurance looks like. This special AI is Here episode is brought to you by SambaNova Systems, the sponsor of this series. SambaNova believes that AI is Here, and we’ve partnered with them to bring these episodes to you. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today, our guest is Brett Beranek, VP and General Manager for Security and Biometrics at Nuance Communications. For an AI company, Nuance is relatively large. Microsoft recently bought the company for $19.7B, and they serve a variety of industries. Our topic today is the importance of subject-matter experts. Brett provides essential insights regardless of your industry because subject-matter experts play an important role in AI adoption. Within Emerj Plus, we have a long executive guide on the importance of subject-matter experts, and this interview will provide a lot of richness and depth on top of that from first-hand experience. If you’re interested in learning more about Emerj Plus and how to unlock our AI best practice guides, frameworks for AI ROI, and specific resources for enterprise leaders, visit emerj.com/p1.

Today’s guest is Ian Wilson, Managing Director at Strategy 4 AI, a strategy and consulting firm based in Cambridge in the UK. He discusses two crucial topics in this particular episode. First, where can AI actually step in, interact with a customer, and not make it worse but potentially improve? Ian talks about some of those use-cases and how to identify them within a financial services institution. The second main topic Ian discusses is some of the challenges and how to identify where humans may offer a better experience and where it might make more sense to keep them in the loop, and what it will take to overcome that moving forward. Ian will soon join us on our other podcast called “The AI in Financial Services Podcast,” where we specifically focus on use-cases in that industry. Be sure to subscribe to your preferred podcast platform to hear his insights, perspective, and more in that upcoming episode.

Today’s episode is part of our new sponsored series called “AI is Here,” where we will speak with AI experts across industries and ask them where AI is impacting their industry today and what that means for the future. In this first episode, we’re exploring the energy sector by speaking to an AI expert at one of the world’s largest energy firms: Shell. Today’s guest is Dan Jeavons, VP of Computational Science, Digital Innovation, and IT. In this episode, Dan speaks about leveraging AI to simulate the operations of an energy firm to achieve better business and sustainability outcomes. He also paints a picture of the world we’re headed into, one with a more distributed energy ecosystem where the environment is an even more important consideration for energy firms. This special episode is brought to you by SambaNova Systems. SambaNova believes that AI is here, and we’ve partnered with them to bring you AI trends and impacts affecting different industries today in this new Wednesday series. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

Today’s guest is Matt Berseth, Co-Founder and CIO of NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. In this episode, we’re exploring the transition from light involvement in data and data science to much more deep participation, where there are a lot of transferable lessons in adoption ideas. We also discuss the lasagna vs. pizza analogy from an excellent past interview. Matt describes how we can take the data leveraged by that product and use it to help the users save time, give them more convenience, or open up more capabilities. He also articulates the gradual process of working at the surface level, learning lessons, and rebuilding some of the core components of a product. This episode is brought to you by NLP Logix. To learn more about Emerj Media and how we help AI services firms reach a global audience, be sure to visit emerj.com/ad1.

Today’s episode is part of our ongoing AI Success Factors series, where we cover one enterprise AI use-case with a measurable ROI and discuss what made it successful every Monday. Today, we’re going to explore the topic of maintaining railways. Our guest this week is Adam Bonnifield, CEO of Konux. Konux applies its AI technology to the rail space, and in this episode, Adam shares his perspective on a unique use-case between Konux and Network Rail, a large railway firm in the United Kingdom. Adam walks us through why achieving ground truth data was so critical for this project and what it looked like to work together with Network Rail to make those key distinctions in terms of computer vision and imagery that would define the success of the project. Discover more AI use-cases, best practice guides, white papers, frameworks, and more at emerj.com/p1.

Today’s guest is Ed d’Archimbaud, Co-Founder and CTO of Kili Technology, based in Paris, France. He has previously worked with large financial institutions such as BNP Paribas, which he speaks about in this episode. We focus on two main topics in this episode: first, we discuss some paperwork-heavy workflows tied to compliance and how AI can provide a solution. The second main topic is data-centric AI and what it looks like to put it into action. Towards the end of this episode, Ed shares how he believes subject-matter experts will be critical to the future of democratizing the technology and winning long-term adoption in the financial services industry and elsewhere. This episode is brought to you by Kili Technology. If you’d like to learn more about reaching Emerj’s global executive audience, visit emerj.com/ad1.

Today’s guest is Michael Berger, Head of Insure AI at Munich Re. In this episode, Michael brings to bear his perspective as someone with technical experience in the industry and as the leader of Insure AI at one of the world’s largest insurance firms. Michael provides a sense of the risks inherent to large AI deployments, from legal risks to physical threats and more. He also discusses how monitoring and pricing risk from an insurance policy standpoint can be updated and act almost as a living document based on the adopting and changing application itself. If you’d like to discover more financial services use-cases, be sure to subscribe to our other show, The AI in Financial Services Podcast, on your preferred podcast platform and find more use-cases on topics such as banking, insurance, wealth management, and much more.

Today in our latest AI Success Factors series episode, we are focusing on the world of heavy industry while highlighting lessons that can be applied any and everywhere. Our guest this week and Chris Joynt, AIoT Co-innovation Leader for the Solutions Group at PTC. PTC is a software firm based in the Boston area. In this episode, Chris discusses what it takes to measure ROI across several different dimensions. He also emphasizes the importance of feature engineering, what it is from a conceptual point of view, and how to use subject-matter experts to handle feature engineering and bring out elements of the data that can support enterprise leaders in their decisions. This episode is sponsored by PTC. If you’d like to learn more about reaching Emerj’s global executive audience through our podcasts, newsletters, and more, visit emerj.com/ad1.

Today’s guest is Stefan Boronea, Co-Founder and CTO of Proportunity. Based in London, Proportunity is a company that has raised over $170M. In this episode, we dive into the topic of where machine learning can add value in terms of accurately predicting the price of homes both now and in the future. Stefan highlights the kind of data and features that are important to understand the price of a home in the present and the future. Another critical idea he shares is about the future of the market when both buyers and sellers have access to vastly more accurate data on estimating and forecasting prices. He discusses these ideas from the standpoint of buying and selling houses and gives a perspective on how they may impact larger assets. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for enterprise leaders, visit emerj.com/p1.

This week’s guest on our ongoing AI Success Factors series is Gero Gunkel of Zurich Insurance. Until recently, he was the Global Head of Artificial Intelligence for Zurich Insurance, and he is now the COO of Zurich’s Customer Active Management or ZCAM. In today’s episode, Gero discusses one particular use-case in helping to handle the extreme volumes of customer support inquiries that Zurich receives during certain seasons. There are two main takeaways: first, where to find the low-hanging fruit for customer experience applications for AI, and second, how to “think big and start small” from an actionable steps level in a way that achieves a measurable ROI. If you are in the financial services industry or interested in more related use-cases, be sure to subscribe to our other program called “The AI in Financial Services Podcast” on your preferred podcast platform to gain industry insights from enterprise leaders.

Today’s guest is Pamela Negosanti, the Head of Sector Strategies for Financial Services at Expert.AI. In today’s episode, Pamela speaks to us about the policy review process for cyber insurance. There are two main stand-out points: first, how a new technology shift and further regulation make AI almost a requirement for a particular business workflow, and second, some concrete workflow advice for applying artificial intelligence to contracts and text documents. There’s an evident business value here and a very clear before and after picture of where AI helps to augment the expertise of human experts who are doing policy reviews. This episode is brought to you by Expert.AI. If you’re interested in reaching Emerj’s global executive audience through sponsored podcasts, content, co-branded research, and more, visit emerj.com/ad1 to learn more about Emerj’s Media Services for enterprise AI vendors. 

Welcome back to our AI Success Factors series, where we publish a short episode every Monday highlighting one AI use-case and the most important factor that leads it to a positive ROI. Today’s guest is Emily Bremner, SVP of Product at Signal AI. Based in London, Signal AI is a company that has raised over $100M and is working on leveraging AI to pull in and make sense of various external data streams. In this episode, Emily discusses Signal AI’s long-term work with Deloitte, detailing how they’ve partnered with them and measured success. She also shares how in addition to leveraging the technology for their own decisions, their key use-case is using this streamlined information to support and retain relationships with clients. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today’s guest is Roey Mechrez, CEO and Co-Founder of BeyondMinds. BeyondMinds is an AI company based in London. Recorded live in London, this episode highlights the topic of data-centric AI. Roey provides a clear definition of this concept and discusses what it implies for the future of enterprise AI projects. He also speaks about the specific ideas that non-technical business leaders need to understand to identify suitable projects and manage them to achieve a return on investment. Roey is also a valued Emerj Plus member. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

This week’s Success Factors series episode highlights a use-case of construction and AI. In today’s episode, we speak about one of the UK’s most prominent building and construction companies that used artificial intelligence to better estimate their cost with greater confidence and credibility than their competitors and make a case for why they should win the job. Our guest is the Co-Founder and CEO of a London-based company called nPlan, Dev Amratia. Every Monday, we publish a short episode as part of our ongoing AI Success Factors series, highlighting one specific AI use-case and what made it successful. Discover more AI use-cases, best practice guides, white papers, frameworks, and more by joining Emerj Plus at emerj.com/p1.

Today’s guest is Sunil Tahilramani, Director of Artificial Intelligence at UiPath. Valued at about $40B, UiPath is one of the robotics processing automation world leaders. In today’s episode, Sunil discusses what the journey from RPA to AI looks like. He details some of the use-cases where AI might be able to add value where RPA can’t and how to get from regular automated workflows to more robust workflows that enable more capability with AI. If you’re interested in Emerj’s best practices and frameworks for AI ROI, AI strategy, and our entire library of AI use-cases from financial services to banking, wealth management, and beyond, you can learn more at emerj.com/p1.

Today’s episode is part of our ongoing AI Success Factors series. Every Monday, we publish 15-minute episodes that focus on an enterprise success story where we discuss one particular factor that made the project successful. Today’s guest is Nikunj Mehta, CEO, and Founder of Falkonry. Falkonry is an AI service firm based in the Bay Area, focusing primarily on heavy industry. In today’s episode, Nikunj highlights the extreme importance of subject-matter expertise when it comes to knowing when to pull in a champion to lead a project to success. Nikunj discusses these core themes in the context of a specific client success story in the steel manufacturing space. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today’s guest is Amaresh Tripathy, Senior Vice President and Global Business Lead for Analytics at Genpact. Genpact has some 80,000 employees, and Amaresh leads a global team of nearly 8,000 analytics experts covering everything from data engineering, machine learning, data insights, and more. This episode focuses on data fabrics and what separates the idea of a data fabric from a data lake, and how enterprise leaders can make sure that this fabric translates immediately to use-cases that add value with near-term ROI and building long-term capability. Amaresh also clarifies the concept of data fabric and ties it to use-cases applicable in business with real examples from some of Genpact’s clients. Join Emerj Plus at emerj.com/p1 to discover more AI use-cases, best practice guides, whitepapers, frameworks, and more.

This is our series on AI success factors where we cover one specific enterprise AI project that was a success, highlighting the problem, impact, and what made it a success every Monday. One of our five guests in our recent week-long series on AI ROI was Gopalan Oppiliappan, the Head of the AI Centre of Excellence for Intel. In that episode, he discussed framework thinking for making decisions about AI projects to achieve greater success. In today’s episode, Gopalan shares how he puts those frameworks in action with a specific success story about inventory management at Intel. He gives a real example of crawl, walk, run and how it made a positive financial impact at Intel. He also discusses a key strategy for measuring and determining economic impact. If you enjoyed today’s episode, be sure to go back to listen to Gopalan’s recent episode and the rest of the insight-packed series on AI ROI.

Today’s guest is Ash Fontana, Special Advisor at Zetta Venture Partners based in the Bay Area. After recently publishing his book, “The AI-First Company,” Ash joins us again on the show to discuss some of the core transferable lessons he’s learned. Our topic for this episode is advantage. Ash discusses a way of thinking about building momentum around data and gaining long-term advantage as a result. This episode is one of two episodes Ash recently recorded with us. If you enjoyed today’s episode, be sure to tune in to his second episode on The AI Consulting Podcast to gain insight on how services companies can turn into AI product companies. 

Today’s guest is Dr. Charles Martin, Founder of Calculation Consulting. Charles has worked on real enterprise deployments with companies like eBay, BlackRock, and exciting startups like Aardvark, which Google acquired. Today’s episode is part of our ongoing Monday series highlighting one key factor for one specific successful enterprise deployment. In today’s episode, Charles discusses a project with Walmart focusing on the use-case of product recommendations in different languages and geo-regions. The main success factor he speaks about is the champion who brings the project through to success. He specifically describes the qualities and behaviors of a good champion. Stay tuned until the end of this episode to learn more about our resources to help AI champions in the enterprise.

Today is episode five out of five of this week’s special series on Achieving ROI with Early AI Projects. We’ve heard from leaders from Intel, Oracle, and other big names, and today, we’re wrapping this series up with someone from the startup world. Our guest is Nikunj Mehta, Founder and CEO of Falkonry. Falkonry is an AI services business focused on heavy industry and manufacturing based in the Bay Area. In this episode, Nikunj describes a portfolio approach to find several related AI projects and capabilities that are likely to turn into a win. He also discusses why an enterprise’s most important objectives are not always the best fit for early AI projects. Stay tuned until the end of this episode to learn about the AI ROI reports that we’re making available for a limited period.

Today’s episode is part four out of five in our Achieving ROI with Early AI Projects series. This week, we have published one episode per day, starting with the Head of the AI Centre of Excellence for Intel. Today, we’re bringing it down to more of a consultancy and vendor perspective from someone who has worked with some of the largest enterprises in the world. Our guest is Dr. Charles Martin, a Silicon Valley AI Consultant with hands-on machine learning experience with organizations like Ebay, BlackRock, and more. In this episode, Charles discusses the concept of data quality mismatch, which can serve as a useful diagnostic tool for estimating what kinds of tasks it will be best suited for. He also speaks about picking projects where you have the data assets to achieve ROI. Be sure to visit emerj.com/p1 to access Emerj’s frameworks for AI readiness, ROI, and strategy.

Today is the third episode of this five-part series being published every day this week on achieving ROI with early AI projects. We’ve heard from the Head of the AI Center of Excellence at Intel and the Head of Insure AI at Munich Re, and today, we speak with the VP of Engineering for Oracle’s Digital Assistant, Raefer Gabriel. Raefer was a previous guest on the show, and he’s also worked on Amazon, including their Alexa platform, and had a startup before then. In this episode, we speak from his perspective on how we can achieve that early AI ROI. He also details how you can diagnose the data assets required to meet a specific goal to determine if your data would be a good fit and start with more modest projects on the crawl, walk, run scale. Be sure to tune in to the rest of the series to gain valuable insights and advice from enterprise leaders on achieving ROI with early AI projects.

This is the second episode of our five-part series on achieving ROI, with early AI projects taking place this week. This series brings together great perspectives from various leaders around advice that can help us bypass typical mishaps to achieve AI ROI. Today’s guest is Michael Berger, Head of Insure AI at Munich Re. Munich Re is a $60B insurance giant heavily invested in cyber insurance and AI insurance. This episode focuses on risk and, more specifically, what kinds of questions we can ask upfront to screen for risk. Michael also provides advice for enterprise leaders in various industries to make smarter decisions regarding risk. During this special series week, we are giving away some of our AI ROI reports here at Emerj. Be sure to tune in until the end of this episode to learn more about these offers for our listeners and subscribers.

Today is the start of a five-day series covering achieving ROI from early AI projects. In this series, we interview diverse experts from companies large and small about what it takes to pick AI projects with the highest chance of ROI. Our first guest is Gopalan Oppiliappan, Head of the AI Centre of Excellence at Intel Corporation. In this episode, Gopalan discusses how to structure project selection and AI project management in a purpose-built to find ROI. As we launch this series this week, we have also made the “AI ROI in Action” report free for download at emerj.com/r5. Previously only available to Emerj Plus members, you can get it for free now to learn more about predicting the costs and returns of AI projects and how to communicate these findings to leadership in a way that sets the right expectations.

Today’s guest is Emmanuel Walckenaer, CEO of YSEOP. YSEOP is a natural language generation AI vendor serving life sciences and drug development. In today’s episode, Emmanuel speaks about speeding up the drug development process through the lens of the life sciences industry being in extreme flux and what happens when a new normal is achieved and how companies have to scramble to keep up with it. Emmanuel also talks about the expansion of AI projects and capabilities in the enterprise. Today’s episode is brought to you by YSEOP. If you’re an AI vendor looking to reach a global enterprise audience, you can learn more about how we work with vendors from sponsored podcasts, articles, co-branded research, lead generation, and more at emerj.com/ad1.

In the third episode of our AI Success Factors series, we’re discussing a public sector application of AI. This Monday series is designed to deliver concise, industry-agnostic insights to start your week with a specific use-case and the most crucial success factor that brought it to life. Today, our guest is Richard Benjamins, Chief AI and Data Strategist at Telefónica. As one of the world’s largest telecommunications companies, Telefónica is a business that makes over $50B in annual revenue and has more than 100,000 employees worldwide. In this episode, Richard speaks to us about a specific project designed to reduce COVID cases by using data related to the movement of people. He also discusses the project’s results detailing how it was used in the real world and what factors led to its success. If you enjoyed this episode, be sure to tune in for the rest of the AI Success Factors series on The AI in Business Podcast at podcast.emerj.com.

Today’s guest is Daniele Cordioli, Head of Solutions Consulting for EMEA at Expert.ai. In this episode, Daniele discusses what contract analytics means and the concrete use-cases we can get from it. There are two big transferable lessons that Daniele highlights in this interview. The first lesson is determining the low-hanging fruit cases where AI can save money and reduce risk when dealing with your volume of contracts. Second, the proper method to establish where the business value lies in your own business. This episode is sponsored by expert.ai. If you’re interested in reaching Emerj’s global AI-focused executive audience through podcasts, emails, sponsored content, and more, you can contact us at emerj.com/ad1.

This is our second episode of our new Monday series highlighting AI Success Factors. Our guest is Beena Ammanath, the current Executive Director of the Global Deloitte AI Institute. Beena is also the Founder of Humans for AI, an organization that provides AI education for underrepresented female minorities, and recently wrote a new book called "Trustworthy AI". In this episode, she discusses one of GE’s early AI projects around procurement and how using a crawl, walk, run strategy can lead to tens of millions of dollars in savings. Be sure to tune in next Monday for the next episode in this series and start your week with pivotal insights about how to turn AI into ROI no matter what industry you’re in.

Today’s guest is Carlos Escapa, AI Global Business Development Manager at Meta (formerly Facebook), and in this episode, we explore what business leaders need to know about open source. Carlos clarifies what open source is and what is relevant for enterprise leaders, and the kinds of situations in which open source tools might be more suitable. He also discusses where leveling up and retaining talent crosses over with open source. Be sure to join Emerj Plus at emerj.com/p1 to unlock our entire library of AI use-cases, best practice guides, white papers, frameworks, and more.

Today’s episode is the first of our new Monday series, AI Success Factors. This series will feature a short episode every Monday for the next four months geared towards starting your week with a look at what it takes for AI to succeed across industries and sectors. Our first guest of this series is Raefer Gabriel, VP of Engineering for Oracle’s Digital Assistant. Raefer previously worked as Head of Engineering for Conversational AI at Amazon. In this episode, he explores a book recommendation use-case, looking at Amazon’s roots from a new perspective. Raefer also identifies two key success factors: firstly, communicating value and strategically selecting projects, and secondly, picking your battles. Tune in next week for the second episode of this series to learn how to make your AI projects and ideas even sharper.

This week’s guest is Peter Tu, Chief Scientist for Artificial Intelligence at GE Global Research. Peter joins us to discuss the transition from the previous era of AI into the current “third wave” of AI in a way that will make sense for business people. He also shares insight on what it’ll take for AI to make the leap to contextual adaptation and what this might mean for business leaders in terms of how it could affect their current processes. If you’re interested in discovering AI trends and being able to identify AI use-cases and trends in your industry, be sure to stay tuned until the end of this episode to learn more about Emerj’s tools designed for business leaders and how to access them to discover more AI opportunities and maximize AI ROI.

This week’s guest is Rajkumar Bondugula, Fellow and Luminary Scientist at Verizon. Rajkumar holds a Ph.D. in Machine Learning and was previously the Principal Data Scientist at Equifax. In this episode, Rajkumar clarifies some of the critical differences between business intelligence, analytics, and data science. He also discusses how these concepts build upon one another and help businesses level up their services. If you’re interested in more insights on building AI maturity, building proper data science teams, being able to identify high-value AI projects and move them forward, be sure to check out Emerj Plus at emerj.com/p1 to unlock our AI best-practice guides, whitepapers, and entire AI use-case library.

Our guest this week is Stacey Shulman, Vice President Internet of Things Group / GM Health, Life Sciences and Emerging Technologies at Intel Corporation. In this episode, Stacey discusses where she sees AI make its way into healthcare now, how Covid has affected how adoption has been prioritized, and its consequences in the future. Stacey’s insights about how healthcare is evolving are correlated to how other enterprises are also adjusting their strategies or potentially should be in the setting of the ongoing pandemic. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today’s guest is Anand Mahurkar, Founder and CEO of Findability Sciences. With about 100 employees worldwide, Findability operates in a variety of industries, including manufacturing. In this episode, Anand provides an in-depth overview of the workflows that are impacted in predicting inventory and resource use in manufacturing. He also discusses what it looks like to determine the data sources you’re going to use and influence the workflows you will use to make more informed forecasting decisions. This episode is sponsored by Findability Sciences. If you’re interested in finding more high ROI use-cases in your sector, be sure to download our free PDF brief, “3 Ways to Detect AI Trends in Any Sector,” at emerj.com/t3.

Today’s guest is Bob Gaines, Managing Director of Business Development at SambaNova Systems, a firm based in the Bay Area that has raised $1B to date. Bob has worked in financial services and technology with companies like IBM, Cray Supercomputing, Deephaven Data Labs. In this episode, he brings his perspective on how this technology has evolved regarding AI’s impact in finance and where it’s going. He also discusses how AI is being used not just to look at the individual entities exchanging funds but also to look at the behavior of the entities around them and the entities they do business with. This episode is sponsored by SambaNova Systems. Visit emerj.com/ad1 to learn more about reaching our global audience.

Our guest this week is Dr. Seth Dobrin, the Global Chief AI Officer at IBM, one of the biggest names in artificial intelligence. In this episode, Seth returns to the podcast to speak about AI governance in terms of enabling innovation and driving better results for enterprises. He also discusses the right way to structure and think about AI governance to allow for efficiency and higher quality products. This episode is sponsored by IBM. If you’re interested in reaching Emerj’s business audience, be sure to visit emerj.com/ad1 to learn more about our media services.

Today’s guest is Remi Duquette, Vice President of Innovation and Industrial AI at Maya HTT. Maya HTT is an engineering and industrial AI services firm that Remi’s been with for twenty years. Remi draws on his hands-on experience to discuss the challenges and opportunities of improving productivity with AI in manufacturing. Today’s episode focuses on the question of where artificial intelligence can be implemented into existing workflows to improve output. This episode is sponsored by Maya HTT. If you’re interested in reaching Emerj’s global enterprise audience, check out emerj.com/ad1 to learn more.

This week’s guest is Gregory Diamos, Machine Learning Systems Engineering at Landing AI. Run by one of the most prominent names in the business AI world, Andrew Ng, Landing AI has raised over $50M to date. Before Andrew founded Landing AI, he and Gregory worked together in the Baidu Silicon Valley Research Lab. In today’s episode, Gregory discusses a broad set of AI use-cases in agriculture that he thinks are going to make the most significant impact in the years ahead. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today’s guest is Joe Bradley, Chief Scientist, SVP Data Science & ML at LivePerson. Joe was previously the Senior Director for Data and Personalization Science at Nike before joining the team at LivePerson. In this episode, Joe breaks down how LivePerson approaches the conversational interface dynamic with their customers. Joe also discusses some of the challenges in getting to a genuinely conversational level and what’s possible today. If you’re interested in more NLP use-cases or want to learn more about chatbots or search-and-discovery, be sure to download our free PDF brief “The Executive Guide to NLP” at emerj.com/nlp1.

Today’s guest is Bhaskar Deka, Global Head of Product Management and AI at EdCast. Based in the Bay Area, EdCast has raised over $100M and has more than 400 employees to date. This episode focuses on onboarding new employees and what it looks like to upscale, train, and get new team members up to speed with machine learning to help make our teams more effective. Bhaskar also discusses his genuine take on the issues and concerns surrounding AI ethics and governance. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Our guest this week is Joseph Berti, VP of AI Applications at IBM. In this episode, Joseph discusses the current capabilities of AI and IoT, highlighting specific use-cases where he’s seen value delivered in the industry. He also talks about where this technology combination takes us and what leaders should be aware of future trends. If you’re interested in gaining support, competitive intelligence, or a deeper understanding of the vendor ecosystem with a current AI initiative, visit emerj.com/aiol to learn more about our enterprise-level research or AI Opportunity Landscape.

Our guest this week is Ramprakash Ramamoorthy, Director of AI Research at Zoho Corporation. Based near the Bay Area, Zoho is a firm with over $600M in annual revenue that offers various software products, including CRM, business intelligence solutions, and other products included in their proprietary suite. In this episode, Ramprakash walks through the team-building process and how to locate business areas where AI can add value. He discusses considerations such as the kind of talent, collaboration, and strategic thinking required to level up an existing suite of products with AI. If you've benefited from the insights in this episode, please consider leaving us a five-star review on Apple Podcasts.

This week’s guest is Everton Paulino, Business Development Executive of Automotive & Manufacturing at SambaNova Systems. SambaNova Systems has raised approximately $1B to bring their hardware and software solutions to market. In this episode, he brings experience to bear and discusses three unique use-cases for where AI might make a difference in the future of manufacturing. This episode is brought to you by SambaNova Systems. If you’re interested in reaching Emerj’s global executive audience through our podcasts, newsletter, website, or more, visit emerj.com/ad1 to download our media kit and learn more about our sponsored content guidelines and offerings.

Today’s guest is Faustino Gomez, CEO, and Co-Founder of NNAISENSE. NNAISENSE is a firm focused on developing AI solutions for the physical world, and we spoke with their other Co-Founder, Jürgen Schmidhuber, about two years ago. If you’re interested in listening to Jürgen’s episode, you can find it on Apple Podcasts or Soundcloud. In today’s episode, Faustino discusses one particular use-case that NNAISENSE is focused on in additive manufacturing. Faustino has a Ph.D. in artificial intelligence and was a senior researcher for over ten years at the IDSIA, a well-known artificial intelligence lab in Lugano, Switzerland. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit emerj.com/p1.

Our guest this week is Sanjay Deshmukh, Executive Vice President of Findability Sciences. Findability is a SoftBank-backed firm here in the Boston area with about 100 employees around the world. In this episode, he discusses how Findability is applying artificial intelligence in the world of collections. He also talks about the personalization of messaging, optimizing the use of call center agents, and categorization. This episode is brought to you by Findability Sciences. If you’re a listener here but not yet a subscriber on emerj.com, you can download our free PDF brief called “The AI in Financial Services Cheat Sheet” at emerj.com/fin1.

Today’s guest is Remi Duquette, Vice President of Innovation and Industrial AI at MayaHTT. MayaHTT is a services firm focused on industrial engineering and industrial AI. In this episode, he speaks to his direct knowledge of applying AI in the industrial setting with examples from making paper products to food processing. He also discusses what it looks like to use AI for quality improvement, touching on the full gambit of AI transformation, with a specific focus on use-cases with quality as their goal. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

Today’s guest is Jeff Mills, Chief Revenue Officer of iMerit Technology. Working in the data labeling and annotation space, iMerit is a company that works with some of the world’s largest autonomous vehicles, big tech, and legacy enterprises. In this episode, Jeff walks through what it looks like to define a business problem, determine the right tools, and bring the project to life. This episode is brought to you by iMerit Technology, and on December 2nd, iMerit will be partnering with TechCrunch to host its DataOps Summit. If you are an AI vendor company interested in reaching Emerj’s executive audience, visit emerj.com/ad1 for more information about our sponsored content offerings.

Today’s guest is Marshall Choy, VP of Product at SambaNova Systems. In this episode, Marshall discusses two different approaches to AI adoption: doing it yourself and leveraging AI platforms. He shares his perspective on the advantages and disadvantages to both and insight on how to decide which approach might best suit your organization. This episode is sponsored by SambaNova Systems. To learn more about reaching our global executive audience through our sponsored content offerings, email list, website, and more, visit emerj.com/ad1.

Today’s guest is Daniel Hernandez, General Manager of Data and AI for IBM. In this episode, we discuss the topic of the access and governance of data. Daniel discusses the concept of a data fabric and what it means from a technology-agnostic standpoint, and how IBM is deploying this approach with their clients. He also shares some of the specific use-cases that IBM is using to bring this approach to life. This episode is sponsored by IBM and is the second in a three-part series focusing on data, data strategy, and data governance. If you’re interested in reaching Emerj’s global executive audience yourself, be sure to visit emerj.com/ad1 to learn more about our sponsored content offerings.

Today's guest is Martin Ford, futurist and New York Times best-selling author of the 2015 book “Rise of the Robots.” Martin’s most recent book, “Rule of the Robots,” highlights where artificial intelligence is likely to impact day-to-day life, business, and society in the coming future. In this episode, Martin discusses some of the meta trends he believes are most important for business leaders regarding how AI could shift business by allowing for new advantages, efficiencies, and more. If you’re interested in finding AI trends in your specific industry or sector, be sure to download our PDF brief called “3 Ways to Discover AI Trends in Your Industry” at emerj.com/t3.

Today’s guest is TJ Shembekar, Director of IT for IBM Global Financing. TJ has been with IBM for over 15 years and has gone through the entire journey of bringing AI to life in the Financing wing of IBM, from aggregating data sources to collaborating with his peers to find the best capabilities for AI. In this episode, TJ discusses some of the exact use-cases that IBM Financing is putting in place today and the process of setting up a data strategy. This episode is sponsored by IBM and is the first part of a three-part series that we’ll be rolling out in the next two months. If you’re interested in reaching Emerj’s global audience of AI-focused leaders, be sure to visit emerj.com/ad1 for more information.

This is the final episode in our five-part series on AI culture change in the enterprise. Every day this week, we have published an episode covering this topic with guests from Facebook, IBM, and other organizations. Today’s guest is Stacey Shulman, Vice President of the Internet of Things Group and GM of Health, Life Sciences, and Emerging Technologies at Intel. In this episode, Stacey discusses how to assess artificial intelligence maturity and where culture change management impacts AI adoption. If you missed an episode of this series, be sure to check out the unique perspective of our other guests this week on The AI in Business Podcast on all major podcast platforms.

As episode four of five in our series on enterprise culture change for AI adoption, we speak with Nick Elprin, CEO of Domino Data Lab. His company has currently raised nearly a quarter of a billion dollars to bring their ML ops platform to some of the largest enterprises around the world. In this episode, Seth breaks down some of the models for AI maturity that Domino uses when they assess enterprises. Nick also shares his unique perspectives on AI maturity as both the leader of a fast-growing startup and as someone with hands-on experience working with well-established legacy enterprises. If you enjoyed this episode, be sure to tune in tomorrow for the final episode in this series. We have heard from some fantastic guests this week, including IBM, Facebook, and SAP leaders.

This is episode three in our series on AI culture change in the enterprise taking place this week through Friday. We will be publishing episodes daily highlighting actionable insights for developing an AI-ready culture within your enterprise from leaders at significant enterprises such as Facebook AI, Intel, and more. Today’s guest is Andreas Welsch, VP and Head of Intelligent Processes at SAP. In this episode, Andreas discusses what SAP has done to adapt and adopt AI internally and share the perspectives of some of their clients. If you’re interested in more insight on changing culture, developing AI strategy, measuring AI ROI, be sure to check out Emerj Plus at emerj.com/p1.

In the second episode of our five-part series on AI culture change, our guest is Carlos Escapa, Global Business Development Manager for Facebook AI. Previously the Global AI and ML Practice Leader for Amazon Web Services, Carlos shares insights from his experience working with many cutting-edge startups who are actively deploying AI. Be sure to tune in to the rest of the series to learn from leaders at Intel, SAP, and many more prominent companies. If you are interested in getting started in your AI journey, be sure to download our free PDF brief, “Beginning with AI: 3 Key Insights for Non-Technical Professionals,” at emerj.com/beg1.

This week's guest is Dr. Seth Dobrin, Chief AI Officer for IBM. As one of the best-known AI companies in the world, IBM has over 300,000 employees. As the first episode in this series on AI culture, Seth provides unique insights, as someone with years of hands-on experience in the industry, on what it takes to shift the culture within a large enterprise. He also talks about what it looks like to build an AI roadmap when adopting AI and creating a plan for the future. Be sure to tune in for the rest of this series taking place this week through Friday here on The AI in Business Podcast. We'll be releasing an episode daily that highlights this topic of AI culture, and we have an exciting lineup of guests from well-known companies such as Facebook, SAP, Intel, and more.

Today’s guest is Gaurav Srivastava, CTO at FarEye. Having recently raised another $100M, FarEye has now raised a total of $150M to bring artificial intelligence to the supply chain. In this episode, Gaurav talks about how end-user impact is what vendors and internal AI leaders need to understand to make a strong business case. Be sure to join us here on The AI in Business Podcast next week, as we will be publishing an episode every day from November 1st through the 5th. We have five notable guests from companies like IBM, Facebook, Intel, and more speaking about the topic of AI culture and how enterprise leaders can encourage an AI culture that will allow AI to take root and genuinely deliver an ROI.

Our guest this week is Joseph Berti, VP of AI Applications at IBM. This week, Joseph discusses high-level trends in how AI is making its way into heavy industry. He also speaks about what the world will look like as more and more physical assets are digitized and how this transformation will impact our world. Before selling to IBM, Joseph was previously the CEO of Oniqua, focusing on predictive maintenance for the oil, gas, and utility space. If you enjoyed this episode, be sure to stay tuned for the upcoming series on The AI in Business Podcast. Starting Monday, November 1st, we’ll publish an episode every day through Friday. These episodes will each highlight a topic that is relevant for leaders in any and every industry.

Today’s guest is Bhaskar Roy of Fractal Analytics. Bhaskar previously held high-level analytical roles at Target and Accenture before joining Fractal Analytics and taking on more artificial intelligence projects. In this episode, Bhaskar discusses the conceptual and practical differences between analytics and AI projects for selling AI and delivery. He also talks about the similarities between these two types of projects. If you enjoyed this episode, be sure to check out Bhaskar’s interview on The AI Consulting Podcast, where he discusses what it looks like to find the AI fit for clients in more depth. The AI Consulting Podcast is our newest podcast designed specifically for AI advisors, strategists, and consultants and is available on all major podcast platforms.

This week’s guest is Katia Walsh, Ph.D. and Chief Strategy Officer for Levi Strauss & Co. Levi’s is one of the best-known apparel brands in the world at $5.5B in annual revenue. Katia holds an important position in that company after having several roles in financial services, telecommunications, and other sectors. In this episode, Katia speaks about unlocking the value of predictive and what it looks like to combine data, AI, and digital in a way that delivers value. She also discusses some of the lessons she learned in other industries and how they translate into retail transformation. If you're interested in more insights in retail, be sure to download our “AI in Retail” cheat sheet at emerj.com/ret1.

Today’s guest is Emily He, SVP of Human Capital Management at Oracle’s Cloud Business Group. Currently ranked the 80th in the Fortune 100, Oracle is well-known for enterprise software and IT solutions. Emily has also managed the research that Oracle conducts annually on their employees’ impact, expectations, and thoughts on AI within their business. In this episode, Emily brings to bear some of the critical findings of this research. She also discusses the business implications for AI adoption strategies that don’t overwhelm the rest of a company’s teams. Discover more AI use-cases, best practice guides, frameworks, and more by joining Emerj Plus at emerj.com/p1.

This week’s guest is Ramprakash Ramamoorthy, Director of AI Research at Zoho Corporation. Based in the Bay Area, Zoho makes over $600M in annual revenue and offers a variety of software products, including CRM, business intelligence solutions, and more. Today, Ramprakash speaks about his hands-on experience on this topic, detailing the kind of collaboration, talent, and strategic thinking required to level up an existing suite of products with AI. He also discusses how team-building and the construction of an AI team facilitate this process to add value. Visit emerj.com/beg1 to learn more about the practical steps for AI deployment for non-technical professionals.

Today’s guest is Patrick Bangert, VP of Artificial Intelligence at Samsung SDS, the services wing at Samsung. With $200B in annual revenue, Samsung is the 15th largest company in the world according to the Global 500. Today, Patrick discusses the use-cases of AI at the edge in medical imagery and how the healthcare industry may be able to overcome some of these hurdles to allow AI to improve even more quickly into the future. We are grateful to have been introduced to Patrick through Kisaco Research, the sponsor for this episode. Kisaco Research runs the Edge AI Summit every year, and this year it will be held November 16-18th in Mountain View, California, and online, where Patrick will also be speaking.

This week’s guest is Merve Unuvar, Director of AI Platforms and Automation at IBM Research AI. This week’s focus is on the intersection of AI and RPA, which is a technology separate from AI, and how to identify places where efficiencies might be driven. Merve discusses how to evaluate our operations and workflow and spot places where AI might be able to make a real and tangible difference. Merve also speaks about how traditional RPA is beginning to merge with AI and what kinds of new opportunities this could bring. If you’re interested in unlocking Emerj’s AI best practice guides, frameworks for AI ROI, and other specific resources for AI consultants, visit emerj.com/p1.

Our guest this week is Alexandre Le Bouthillier, Co-Founder of Imagia. Imagia is a firm based in Montreal that leverages artificial intelligence for medical analysis. Today, Alexandre discusses personalized medicine before and after artificial intelligence. He also brings to bear his perspectives on how personalized medicine might come to be, cutting through some of the buzzword hype surrounding the term. Alexandre was a guest on the show several years ago, and we’re thankful to have the opportunity to share more of his insights. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today’s guest is Nikola Mrkšić, CEO and Co-Founder of PolyAI. PolyAI is an AI voice company based in the United Kingdom. Nikola previously appeared on an episode with us to discuss the future of voice AI for the customer experience. Today, Nikola dives into the use-case of appointment-setting with AI for voice. He talks specifically about the technical constraints, AI capabilities, and how to create workflows that add real value to the business. This episode is sponsored by PolyAI. If you run a disruptive AI firm and you’re looking to reach a global audience of AI-interested leaders, be sure to visit emerj.com/ad1 to learn more about Emerj’s Creative Services.

Today’s guest is Bill Fox, Business Development Executive for Healthcare Strategy at SambaNova Systems. Founded in Palo Alto, California, SambaNova offers hardware, software, DataFlow-as-a-Service, and more. Today, Bill speaks about what SambaNova’s team is seeing in terms of near-term future opportunities for computer vision and artificial intelligence. Bill also discusses use-cases relating to diagnostics and health and what the future of healthcare transformation could potentially look like. This episode is sponsored by SambaNova Systems. If you’re interested in reaching Emerj’s global audience via our podcast, newsletter, or website, be sure to visit emerj.com/ad1 for more information.

Today’s guest is Rudina Seseri, Founder and Managing Partner at Glasswing Ventures. Rudina has been a previous guest on The AI in Business Podcast, and today she speaks with us about how AI startups are pivoting their strategy by restructuring their business models and potentially changing who they are selling to in light of COVID-19. Rudina also shares her perspectives on emerging AI trends and how to identify them, which is an essential skill for consultants and vendors. If you’d like to explore one of Emerj’s resources for spotting AI trends and making the most of them in your own business, download our free PDF brief, “3 Ways to Discover AI Trends,” at emerj.com/t3.

Today’s guest is Caroline Gorksi, Group Director at R2 Data Labs of Rolls Royce. Rolls Royce is a well-known company involved in the heavy-industry space based in the United Kingdom. Caroline was a previous guest on the show and spoke about the future of logistics and the supply chain. This week, Caroline discusses the AI safety protocols and frameworks developed by R2 Data Labs and what it looks like to include safety in the product development process to become a factor that both business people and consultants can bear in mind. If you would like to discover more AI use-cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today’s guest is Susan Schneider, Founding Director at the Center for the Future Mind of Florida Atlantic University, NASA Chair in Astrobiology Exploration and Technical Innovation, and Distinguished Scholar Chair at the Library of Congress. In this week’s episode, Susan discusses the big picture of the future of AI and the brain-computer interface. She also gives examples that help provide a lens into the possibility for post-human trajectory decades into the future of artificial intelligence and more. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today’s guest is Jim Benton, CEO of Chorus.ai. Sales enablement with AI adoption is an often overlooked business function that few companies are succeeding with, but Chorus.ai does just that. To date, the firm has raised over $100 million with record growth in 2020. Today, Jim discusses the potential future of sales enablement to further improve clients’ performance with AI consistently. If you’re interested in learning more about AI applications and finding where AI can be productive in the industry, be sure to check out Emerj Plus at emerj.com/p1. By joining Emerj Plus, you can access our entire library of tools to apply and adopt AI, create an AI strategy, and achieve AI ROI.

Today’s guest is David Brin, renowned fiction author, NASA consultant, and keynote speaker with a Ph.D. from the University of California San Diego. David has received the Hugo, Locus, Campbell, and Nebula awards for his various works of fiction, and his novel, “The Postman,” was adapted into a 1997 feature film starring Kevin Costner. David’s works have explored the topics of strong artificial intelligence, brain-computer interface, upgrading human brains, and more. Today, he speaks about how to govern these powerful technologies, like brain-computer interface and AI. David also shares his ideas about what the next level of human intelligence could look like without an arms race.

Today’s guest is Emmanuel Walckenaer, CEO of YSEOP. A firm based in Paris, YSEOP focuses on natural language generation across financial services and life sciences industries. Emmanuel speaks with us this week about the applications of NLG when it comes to drug discovery and life sciences. Emmanuel also discusses some other life sciences and AI trends that he thinks are promising and some of the trends that he’s seen in his work in the life sciences space. This episode is sponsored by YSEOP. If you’re interested in reaching the Emerj audience, you have an important educational message about use-cases and applications of AI, be sure to contact us at emerj.com/ad1.

Today’s guest is Dr. Joanna Bryson, Professor of Ethics and Technology at the Hertie School in Berlin. Previously a faculty member of the Computer Science department at the University of Bath, Joanna was one of nine experts nominated by Germany to the Global Partnership for Artificial Intelligence. Today, Joanna speaks about some of the business applications and implications of AI with specific use-cases. She also shares her perspective on how AI could be practically managed in terms of security and privacy and how these technologies might have ramifications in the future. Discover more AI use-cases, best practice guides, white papers, frameworks, and more at emerj.com/p1.

This week’s guest is Ricardo Panaggio, Data Scientist at Daitan. Daitan is ranked by the Financial Times as one of the fastest-growing U.S. companies and now has over 500 employees globally. Panaggio shares his insights on particular use-cases in open banking and external data sources and how these might serve as indicators for the future of AI in Financial Services on this week’s episode sponsored by Daitan. If you’d like to discover more Financial Services use-cases, trends, insights, and more, be sure to subscribe to our AI in Financial Services Podcast on Apple Podcasts, Spotify, or any major podcast platform. 

Today’s guest is John Havens, Director for Emerging Technologies and Strategic Development at the IEEE Standards Association, and Executive Director for the Council on Extended Intelligence and the IEEE Global Initiative of Ethics and Autonomous Intelligent Systems. This series focuses on what the AI future might look like and how day-to-day life might be transformed. Today, John discusses the path we’re on when it comes it our technology and personal data and what that might mean for the virtual environments we’ll eventually live and work in. He also shares his ideas on the implications of data and AI as we consider our privacy and security in the years to come. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

This week’s guest is Sudhanshu Sawlani, Head of Robotics and Intelligent Automation for ING Wholesale Banking, a large financial services organization with over 70,000 employees worldwide. Sudhanshu is introduced to us by Expert AI, who is this episode’s sponsor. Today, he speaks about a particular NLP use-case that he has implemented across different portions of the business. Sudhanshu also shares details about the process of creating this use-case, like the factors that led to the decision for an AI solution and some of the challenges that arose along the way. To learn more about Emerj’s Creative Services and how to reach the Emerj global audience, visit emerj.com/ad1.

Our guest this week is Cory Janssen, Co-CEO and Co-Founder of AltaML, an AI services firm based in Canada with over 100 employees just four years after its launch. Today Cory shares the lessons learned from his experience working with a small team to find AI opportunities and transform pilot projects into effective AI deployments in the enterprise. He also explains why “land and expand” doesn’t work as a method for this complicated process. Cory also recently joined us on our AI Consulting Podcast to share his origin story and his unlikely path to starting an AI consulting company - listen to the entire interview on all major podcast platforms.

Today’s guest is Dr. Julian Togelius, professor of Computer Science and Engineering at New York University. Julian has a Ph.D. in Computer Science from the University of Essex and is also a Co-Founder of modl.ai, a firm based in Denmark focused on developing AI and ML-based tools to advance game development. Today, Julian shares his ideas about the interesting intersection of gaming and artificial intelligence. He also discusses how the VR and augmented reality environments enhanced by AI might affect or alter our day-to-day lives in both the short- and long-term future. Download our white paper “3 Ways to Discover AI Trends” at emerj.com/t3.

Today’s guest is Jared Dunnmon, Technical Director of Artificial Intelligence and Machine Learning at the US Defense Innovation Unit (DIU). Jared began working at the DIU after receiving his Ph.D. and completing a Postdoctoral Fellowship at Stanford University. Today he speaks about his career path and the wide range of use-cases present in homeland security and defense. Jared also provides insight into the vast array of AI projects handled by the US Department of Homeland Security and Department of Defense. If you are interested in more great interviews about AI in Defense, check out the rest of this three-part series on AI in Business podcast on all major platforms like Apple Podcasts and Spotify.

Today's guest is Bronwyn Williams, partner at Flux Trends, a foresight and advisory firm based in South Africa, and Co-Author of "The Future Starts Now," published in April 2021. Today, Bronwyn shares her perspective on how strong artificial intelligence might impact society in Africa. She also discusses the unique ways technology is being adopted in Africa might mold future trends in the economy and the future of the human experience. If you are interested in more interviews about the future of artificial intelligence across industries, check out the AI Futures Series on AI in Business podcast on all major platforms at emerj.com/podcast.

Today’s guest is Mike Brown, Director of the Defense Innovation Unit for the United States Department of Defense. Mike is someone with an extensive background in business and technology who also has a passion for homeland security and defense innovation. In today’s episode, Mike will talk about the importance of artificial intelligence in the future of defense and what the future of warfare will look like. He will also discuss how the United States military is leveling up its innovation efforts around AI and how they should be making more improvements in the future. Whether you’re in the public or private sector, this is a very helpful episode. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Dr. Robin Hanson, Associate Professor of Economics at George Mason University with a Ph.D. in Social Science from the California Institute of Technology. Dr. Hanson’s first book, “The Age of Em: Work, Love, and Life when Robots Rule the Earth,” was published in 2016 and focused on the concept of emulating human consciousness by scanning the human brain. This series is all about the question of what the future of the human experience is like, and Dr. Hanson shares his eye-opening perspective of this emulation technology alongside strong artificial intelligence and how the two might come together to change the future of work and life. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today we are kicking off a series of episodes about the topic of AI in Defence. Today's guest is Steve Blank, arguable one of the best-known Silicon Valley thinkers alive today, author of the book "The Startup Owner's Manual," and is an adjunct professor at Stanford University, where he teaches about innovation and innovation in modern war. Today Steve speaks to us about how innovation has to operate within the military and what the US Department of Defence might do better to adopt future technologies and evolve more quickly in the face of a competent adversary in the form of China. Steve holds no bar, and his level of honesty is surprising on the matter. For those of you interested in the global dynamics of power, this will be a fascinating episode. For those interested in making big enterprises and organizations evolve and what kind of systems and leaders thinking has to evolve within them, Steve provides some gems that are immediately applicable in any industry. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Nikola Mrkšić, CEO and Co-Founder of PolyAI, a leading supplier of conversational AI for automated customer service, who has raised over $12MM to bring AI to voice in the world of customer experience. Nikola breaks down some of the challenges of voice and some of the low-hanging fruit opportunities when it might be a better fit than chat. This episode is sponsored by PolyAI. If you are interested in reaching Emerj's audience and learn more about our creative services and how brands work with Emerj, our sponsored content options, and our go-to-market services for AI vendors and service provides, you can go to emerj.com/ad1

In the first episode of this 8 part AI Futures series, we look into the Future of the Human Experience. How is AI going to change the way day-to-day life looks and feels for humanity. Our first guest in this series is Stephen Wolfram, founder, and CEO of Wolfram Research. Stephen needs little to no introduction. He was working in quantum field research at the age of 15 and was the youngest recipient of the McArthur fellowship at age 21. This interview is over an hour-long, with Stephen's most profound thoughts on how AI will fundamentally alter our day-to-day lives. Stephen also provides his views on computation, blockchain, and some tangible examples of what the future might look like. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Pallab Deb, the Head of Partner Solutions & AI Partnerships at Google Cloud. Previously headed up AI division at WePro, one of the world’s most prominent global IT and tech service providers. Pallab Deb will be talking about how Google assesses AI readiness and maturity and discusses their model in place.  He also talks about how to apply the model in assessing the AI readiness of a company. If you want to explore AI readiness for your business or client, then it is worth checking out today’s podcast! Pallab Deb is also a guest in our AI Consulting Podcast, which focuses more on starting and growing an AI Consulting company, with insights from figures from large companies to smaller organizations. If you enjoyed this podcast, then you are also welcome to check out our AI Consulting podcast at emerj.com/ai-consulting-podcast

Today's guest is Rudina Seseri, founder and managing partner of Glasswing Ventures, a VC firm in the Boston area focused on AI and startups. This week, she's here to share her insights on what smart data infrastructure represents and how it could shape the future of enterprise AI. Rudina delves deeper into this topic and focuses more precisely on the ecosystem needed to breathe life into AI and bring it ever closer to companies. This hypothesis-oriented interview is probably one of the most exciting so far as we discuss the future of technology with Rudina. If you're an AI consultant and want to drive more value for your customers or a business leader and want to know what AI can do for you, join Emerj Plus at emerj.com/p1

Today's guest is Ricardo Panaggio, Data Scientist at Daitan, ranked by the Financial Times as one of the fastest-growing companies in America. Ricardo speaks to us this week about financial services. Expressly, some particular use-cases in open banking and external data sources represent some interesting indicators as to where financial services and AI are headed together. We like to make things tangible and add a variety of perspectives, and the perspective of the services will be interesting for you. This episode is sponsored by Daitan. If you are interested in reaching Emerj's audience and learn more about our creative services and how brands work with Emerj, our sponsored content options and our go-to-market services for AI vendors and service provides, you can go to emerj.com/ad1

Today's guest is Emmanual Walckenaer, CEO of YSEOP, a company based in Paris and focused on Natural Language Generation. Emmanuel speaks to us today about workflows where automating reporting really delivers value, and we talk about two, in particular, one of which is credit risk. Understanding and assessing it, and what does that process look like today? What kind of data and insights are required, and where does AI fit into the mix? And we also look at improving report quality for people that are controllers or analysts. Emmanuel explores how the use cases work and how the underpinning data infrastructure comes together to create a natural language-generated report. This episode is sponsored by YSEOP. If you are interested in reaching Emerj's audience and learn more about our creative services and how brands work with Emerj, you can go to emerj.com/ad1

Today's guest is Michael Biltz, Managing Director of Technology Vision at Accenture. For many years Accenture has come out with their annual technology vision focusing on several trends they think will define the year ahead. Michael speaks to us today about adapting to the new world we have been hurled into with the Coronavirus. How does AI play a role in the near term? What does the future work look like five years out when it is AI-enabled? What are some of the big areas that corporations need to think about? If you are leading or starting a company and want to know what it looks like when we are all working together productively half a decade from now, this is an interview that will be eye-opening for you. And if you are interested in finding more AI trends in whatever industry you operate in, be sure to download our PDF brief "3 Ways to Discover AI Trends in Any Sector" at emerj.com/t3

Today's returning guest is Per Nyberg, Chief Commercial Officer for Stradigi AI. Per spoke to us in the past about the process of getting started with AI, and he talks to us today about the kinds of changes we should see and expect if we do things well, once we do get started, in the experience of our actual employees. How are their lives and productivity going to change? How are our workflows going to change? This episode is sponsored by Stradigi AI. If you are interested in reaching the Emerj audience, whether through thought leadership, e-mail, podcasts, or more, you can go to emerj.com/ad1 to learn more about Emerj creative services.

Today's guest is Adam Oliner, former Head of Machine Learning at Slack and current Founder and CEO of Stealth Mode Startup. Adam speaks to us today about how to find AI opportunities. What is a lens of thinking, the set of steps and phases to uncover the AI fit, and where can we unlock AI value in our business? How can we look through a pair of goggles that will show us where the business needs AI and the data assets can come together and deliver value in the business? Suppose you are interested in best practices for finding AI opportunities, building a strategy, building a roadmap, and conveying the ROI of AI when it comes to making the business case to leadership. In that case, you can learn more and access our entire AI use-case library in Emerj Plus at emerj.com/p1

Today's guest is Gaurav Srivastava, CTO and co-founder of FarEye, a low-code, Intelligent Delivery Management Platform for all types of businesses across many industries to facilitate deliveries at reduced cost and improved performance. In today's episode, Gaurav explores the potential for AI in logistics, what it looks like to move towards predictive, and what it looks like to unlock AI in a space known for not being at the screaming edge of technology. The evolution of this sector will mirror the evolution of many other legacy sectors and hopefully will help open up some ideas. If you are thinking about finding AI opportunities and building your strategies, download our FREE PDF Brief on "3 Ways to Discover AI Trends in Any Sector" at emerj.com/t3

Today's guest is Pamela Negosanti, Head of Sector Strategy for Financial Services for expert.ai, a vendor company based in Italy that works worldwide with their various NLP products. Pamela speaks to us today about financial services use cases and delivers lessons on where to find those pockets of value for NLP, and you can apply those lessons almost anywhere. She explains how to think about NLP on a conceptual level as a non-technical business person and talks about finding those pockets of value. If you want to examine your business and think about where search, conversational, or other kinds of NLP applications and use cases might find a home, this is undoubtedly an episode for you. Do you want to stay ahead of the AI and NLP curve? We've created the "Unlocking the Business Value of NLP - Critical Use-Cases and Applications" to give you the edge. Get it now from: emerj.com/nlp1

Today's guest is Christophe Makni, a managing consultant of Lean, AI, and Automation at Basler Kantonalbank. Christophe brings a wealth of knowledge today on the culture required for AI in the enterprise and how we can conjure that culture. How can we encourage an iterative and experimental mindset from our leadership and see the benefit thereof? Are you interested in being part of a community of AI catalysts for business? Check out Emerj Plus at emerj.com/p1

Today's guest is Bret Greenstein, SVP and Global Head of AI at Cognizant, one of the top 5 largest tech consulting companies globally, with 2019 revenue at nearly $17B. Bret speaks to us today about forecasting and predictive for critical business metrics and decisions. A big meta trend around AI adoption that he sees takes place across many industries since the Coronavirus. When it comes to businesses going from historical dashboards to more predictive decision-making, there is a general trend and opportunity that is beginning to arise, and Brett does a great job of putting the finger on it. Interested in more of his thoughts? Be sure to check out his other show and subscribe to our new AI Consulting Podcast at: emerj.com/pod2

Today's guest is Brian L. Keith, a research advisor for Emerj AI Research and Federal Azure Data & AI Leader for Microsoft, based in Washington, DC. Brian has spent nearly 21 years as senior director partner for IBM Data and AI, North America, focusing on the federal space. Brian speaks with us today about some of the core challenges to overcome when large companies adopt AI. He brings a perspective through the lens of technical debt and how AI projects build more technical debt than a foundation for AI to blossom and bloom into the future. Brian brings his perspective on how enterprise AI maturity develops how we can build as little technical debt as possible and invest in projects that can deliver ROI and set us up for the future. Suppose you need to frame the ROI case for the enterprise and go to market successfully. In that case, you might want to learn more about our Catalyst program, where we coach AI services and consulting company founders one-to-one and help them start and grow their business and enter the market with success. To learn more, visit: emerj.com/catalyst

Today's guest is Sanjeev Agrawal, President & CEO of LeanTaaS. LeanTaaS raised over a quarter billion dollars to take on AI in healthcare and is working with over 300 hospitals in the US. Sanjeev is an alumnus of MIT and was head of global product marketing for Google back in the earlier 2000s. Sanjeev walks us through the state of technology adoption in the healthcare space in an exciting way and talks about how hospitals can start small by leveraging smaller datasets to improve some of their existing processes. We talk a lot about the back-office operations critical to ensure that healthcare facilities are financially salient and patients treated well. Subscribers can reach out to Sanjeev on LinkedIn to get a PDF copy of his book "Better Healthcare Through Math" for free. Interested in more use cases, best practices for AI adoption, strategy, and ROI? Check out Emerj Plus: emerj.com/p1

Today's guest is Dr. Poornima Parameswaran, Co-founder & Senior Executive at Trace Genomics, a firm that has raised nearly $25M to attack the space of soil science and the value of soil. Today, Dr. Parameswaran explains how AI is being used to extract data from the soil, why that matters for farmers and anyone who cares for the environment, what that might be leading to predicting crop yields, and more effective use of fertilizers and pesticides. Interested in more interesting AI use cases? Subscribe to our newsletter at: emerj.com

Today's guest is Debjani Deb, CEO of ZineOne, an AI-based personalization firm in the Bay Area, who has raised over $15M and has worked with well-known retail brands such as Men's Warehouse. Debjani speaks to us this week about two topics. One, how she sees the retail world reeling and responding, the changes that are happening, and the perspective, boots on the ground, in the retail world post-Covid-19. Second, what is the scale of maturity of personalization, where can companies start, and how should they think about first projects for building recommendations and personalization into their experience. She lays out several potential use cases that companies should apply and rules of thumb for shifting and sorting through them. Are you interested in more use cases for AI in Retail? Download our AI in Retail cheat-sheet PDF guide at: emerj.com/ret1

Today's guest is Monte Zweben. Monte started doing AI with NASA in the late 80s, took a company public for nearly $3B at the height of the internet boom of the late 90s, and is now CEO at Splice Machine. This company offers a scalable SQL data platform for modernizing applications. In this episode, Monte speaks to us about some of the mirrored elements of tech's past transitions into AI and what they mean for how AI will start to become the norm in enterprises. He also applies lessons learned from his previous business transitions into what leaders can do to better prepare for this next wave of AI. Do you want to support this show? Be sure to leave us a review on Apple Podcasts, and let us know what you like about the program! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

In today's short episode, we will be covering some of the recent updates to the show. I will cover what we learned in 2020 from our listeners, bring exciting news on what we aim to focus on, and what insights and skills you will pick up from the show in the coming year. I cover the changes coming in terms of frequency and format, and lastly, some of the fantastic episodes we have coming up. Do you want to support this show? Be sure to leave us a review on Apple Podcasts, and let us know what you like about the program! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Today's guest is Caroline Gorsky, Group Director of R2 Data Labs at Rolls Royce. Rolls Royce needs no introduction as it is one of the pioneering providers of cutting-edge technology solutions in automotive, aerospace, and power. This week, Caroline speaks to us about using Natural Language Processing to optimize their massively complex supply chain and get better transparency in their processes. She also talks about where they hope to use this technology to gain a deeper view of their operations. Do you like and want to support our show? Consider leaving us a five-star review on Apple Podcasts! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Today's guest is Mahmoud Arram, Co-Founder and CTO at ‎Bluecore. Bluecore is a marketing technology company that's reimagining how retailers communicate with shoppers and has raised over $100 million to deliver Artificial Intelligence to enterprises. Mahmoud helps us answer where to target your efforts with AI and how to identify problems that will deliver business results, a real problem versus a toy problem, whether you are building an AI product or thinking about where to apply AI to your own business. Interested in more use cases, infographics and frameworks? Check out Emerj Plus: emerj.com/p1

Today, our returning guest is Per Nyberg, Chief Commercial Officer at Stradigi AI, a leading North American SaaS AI business platform provider that enables organizations to bring business-accelerating AI projects to fruition quickly. We speak this week about what he has seen in the market in terms of AI adoption, what is going well, and the trends and patterns that he has seen across the industry. We will also talk about building AI maturity and AI fluency. Then we wrap things up with the art of starting small, what is essential to bear in mind, the important ways to take action, and how companies can get the ball rolling in a way that will lead to a bigger value. Are you interested in reaching the Emerj audience via our newsletter or podcast? Learn more at emerj.com/ad1

Returning today is one of my favorite guests, the great and brilliant Derek Choy, Co-Founder & COO of Aktana. This Silicon-Valley-based startup has raised $65+ million to empower data-driven insights for Life Sciences sales professionals with its AI-driven platform. In this episode, Derek helps us understand how you make an AI product work when it is a game-changer, and what hurdles and opportunities arise when bringing a new product to market. Are you interested in more use-cases? Download our guide: "Beginning with AI Guide - 3 Key Insights for Non-Technical Professionals" at emerj.com/beg1

Today's guest is the great and brilliant Max Sklar of Foursquare, a technology platform that powers leading business solutions and consumer products through a deep understanding of the location. Max has spent eight years there as a Machine Learning engineer and is currently an Engineering and Innovation Labs Advisor. He speaks to us today about the possibilities and potential of location data and where this data might be handy in businesses in the future. Is this the future of how we predict consumer behavior? Want to learn more? Check out Emerj Plus: emerj.com/p1

Today guest is the great and brilliant Lars Joakim Nilsson, Manager of Advanced Analytics and Big Data for Inmeta, a consulting firm based in Oslo. Inmeta has worked with very large European enterprise firms on Big Data and AI-related projects. Lars speaks to us this week about why AI adoption in Europe is different and brings forth the myriad of cultural and regulatory challenges that might also be relevant for you, no matter where you live. Want to learn more about AI use-cases? Check out Emerj Plus at: emerj.com/p1

Returning today is the great and brilliant Peter Durlach, Senior Vice President of Healthcare Strategy for Nuance Communications, one of the pioneers and leading companies in conversational AI innovations, servicing the Healthcare space with AI products for well over a decade. Today, Peter goes into detail as to how AI can help improve the revenue recovery workflow, which will help you identify similar workflows and processes within your own business that might be influenced by AI. Do you want to support this show? Be sure to leave us a review on Apple Podcasts and let us know what you like about the program! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Returning with us today is the great and brilliant Geoffrey Tate, Co-Founder and CEO of Flex Logix, a leader in AI chip engineering, offering Neural Inferencing Semiconductor IP/Software and eFPGA Semiconductor IP/Software. In this episode, Geoffrey and I speak about when it makes sense to make AI at the edge, and when it makes sense to have Centralized Compute, what are the advantages of both, and what are the instances where AI at the Edge might be the smarter move to play. Want to learn more? Join Emerj Plus at: Check out Emerj Plus: emerj.com/p1

Today the great and brilliant Gilad Turbahn, Senior Director of Product Management at Conga (formerly Apttus). Apttus is a leading quote-to-cash company that will put big enterprises on accounts receivable, and they recently merged with Conga, a global leader in commercial operations transformation. Gilad explains this week what they are working on for conversational interfaces with sales folks. The idea of layering on AI is still the wild west to some degree, there are a plethora of potential exciting use cases, and it will be interesting to see which ones evolve and move forward, but this is one use case that I thought you all should hear about. Interested in more use cases? Check out Emerj Plus: emerj.com/p1

Returning today is the great and brilliant Dr. Dmitry Efimov, VP of Machine Learning Research at American Express, one of the world's largest credit card companies. Today, Dr. Efimov helps us understand what makes for a successful AI firm, the right mix of technical folks, and how we connect them to the actual business processes, with the right team mix and communications channels to deliver fruitful AI projects. Want to support the podcast? Please consider leaving us a review: https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Today's guest is the great and brilliant Ron Glozman, CEO & Founder of Chisel.ai, an award-winning insurance firm AI solution that reads unstructured insurance data and automatically recognizes insurance-specific data points. Today Ron and I will discuss AI use-cases in insurance for both Brokers and Carriers. We will also discuss and understand the workflows impacted and where AI fits into those workflows. Are you interested in more Insurance Use-Cases? Get Emerj's PDF guide: https://emerj.com/ins1

Returning today is the great and brilliant Peter Durlach, Senior Vice President of Healthcare Strategy for Nuance Communications, one of the pioneer and leading companies in conversational AI innovations, servicing the Healthcare space with AI products for well over a decade. Peter today helps us understand who in Healthcare is adopting AI, what common factors make businesses more or less common to adopt AI, and provides us insights into the technical ability, resources, and culture required for AI adoption. Want to learn more about adopting and applying Artificial Intelligence? Get Emerj's PDF guide: https://emerj.com/beg1

Today's guest is the great and brilliant Robert LoCascio, CEO of LivePerson, a public company providing real-time intelligent customer engagement solutions to 10,000+ customers, including giants like Citibank, HSBC, Orange, and The Home Depot. In this episode, Robert breaks down the opportunity spaces for conversational AI, exploring the automation, interfaces, and evolution of technologies. Want to support the podcast? Please consider leaving us a review: https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Returning today is one of my favorite guests, the great a brilliant Dr. Charles Martin. Doc Martin received his Ph.D. in Theoretical Chemical Physics from the University of Chicago, where he authored scientific programs in C and Fortran using the Cray supercomputer. His company, Aardvark (later acquired by Google), developed statistical machine learning techniques (SVM, NLP, etc.) for search. Today's episode topics include: how to speak to executive leaders to make ROI clear and set realistic expectations, challenges of AI adoption, and what holds leaders back. Are you a consultant, vendor, advisor, or enterprise leader working to catalyze AI adoption? Consider applying to Emerj's AI Catalyst accelerator program. Learn more: emerj.com/catalyst

Today's guest is the great and brilliant Derek Choy, Co-Founder & COO of Aktana. This Silicon-Valley-based startup has raised $65+ million to empower data-driven insights for Life Sciences sales professionals with its AI-driven platform. In this episode, Derek helps us understand how to leverage AI to make salespeople more effective, breaking down sales workflows where AI can help most. These insights could be helpful in any industry. Want to learn more? Here are three ways to discover AI trends in any sector: emerj.com/t3

Returning today is Abinash Tripathy, CEO & Founder of Helpshift. The AI-powered support platform has raised $50+ million in venture funding since 2011. It is now installed on more than two billion devices worldwide, serving giants like Microsoft, Xfinity, and Zynga. In this episode, Abinash opens up about: where conversational AI is getting the most fruitful traction, the most natural fits between customers and NLP technology, and where AI investments are trending. Want to discover more NLP use cases? Get Emerj's free PDF Brief: "Unlocking the Business Value of NLP" at emerj.com/nlp1

Today's guest is the great and brilliant Dr. Abhishek Pani, Sr. Vice President of Product Mgmt at Bright Machines, a Silicon Valley startup founded in 2018. The company has raised $150+ million to bring together flexible factory robots with intelligent software, production data, and machine learning. In today's episode, Dr. Pani shares his valuable perspective on the transforming landscape of AI capabilities in manufacturing and how AI can empower dextrous micro-scale operations.
Dr. Pani received his Ph.D. in Operations Research from the University of Maryland, co-founded Adobe's Data Science research awards program, and served as an adjunct faculty member at Stanford University. Want to explore Emerj's full library of AI use cases? Get Emerj Plus: emerj.com/p1

Today, the great and brilliant Dr. Tanushree Luke returns. Dr. Luke is Head of AI at US Bank (USA's 5th largest bank). In this episode, we discuss conversational agents as a tool for streamlining access to internal systems for employees and between departments, including efforts underway and promising opportunities. Dr. Luke earned her Ph.D. in Theoretical/Mathematical Physics and MS in Physics and Applied Engineering from George Mason University. Previously she served as the Head of Predictive AI and Machine Learning for Capital One's Conversational AI Platform. Dr. Luke also served as Technical Lead for the Department of Defense/DARPA Network Defense Program and held leadership roles at companies supporting the Department of Homeland Security and the Department of Energy. Want to dive deeper into AI opportunities in Financial Services? Get Emerj's PDF guide: emerj.com/fin1

Returning today is the great and brilliant Dr. Spence Green, CEO of Lilt, an AI-powered enterprise language translation company that has raised $37.5 million since founded in 2015. Its platform combines adaptive neural machine translation technology with an enterprise translation management system. In this episode, Dr. Green helps us break down the role of man vs. machine for language translation and offers a peek under the hood at what NLP looks like in an enterprise application. Want to discover more AI opportunities? Try Emerj's Use Case Explorer, included with Emerj Plus: emerj.com/p1

Today, the great and brilliant Kurt Muehmel returns. Kurt is Chief Customer Officer at Dataiku, a unicorn AI platform that has raised $250+ million since 2013 and outranked Google in Gartner's 2020 reports. In this episode, Kurt helps us break down the factors and capabilities that inspire enterprise leaders to make the leap for strategic and transformative AI investments. Are you also an AI Catalyst? Consider applying for Emerj's accelerator program: emerj.com/cat1

Today's guest is the great and brilliant Dr. Maxim Khalilov. At the time of this interview, Dr. Khalilov was Director of Applied AI at Unbabel, an AI-driven language translation platform. Now he's Head of R&D at Glovo, a unicorn startup based in Spain. He earned his Ph.D. in CS from Universitat Politècnica de Catalunya. Maxim specializes in statistical machine translation and has authored 43 publications. In this episode, Dr. Khalilov helps us dive into the unique opportunities and challenges of AI engineering in Europe. Are you considering investing in AI for your organization? Check out Emerj's pdf guide for business leaders: emerj.com/beg1

Today's guest is the great and brilliant Dr. Pavel Dmitriev, VP of Data Science at Outreach.io. This AI-driven sales engagement platform has raised over $250 million since founded in 2011. We spoke with Outreach's CEO, Manny Medina, several months ago on the podcast. In this episode, Dr. Dmitriev helps us break down how to drive tangible business value for customers, with AI. Topics include: strategic & technical feasibility considerations, matching capabilities to user needs, and business value drivers. Want access to Emerj's best insights, frameworks, and exclusive infographics? Get Emerj Plus: emerj.com/x1

Today's guest is the great and brilliant Scot Alexander, Managing Director at Optimity Advisors. Scot is an industrial engineer with broad experience as an enterprise systems integration leader and a deep skillset in Healthcare Technology. Before Optimity, he directed teams at PwC, Accenture, and HP. Now, he's serving industry leaders to level up their capabilities with AI. In this episode, Scot helps us break down C-suite perspectives on: AI vs IT transformation projects, how the pandemic has altered technology priorities, and how AI will be integral for healthy enterprises.

Emerj is uniting AI Catalysts like Scot to help enterprises worldwide understand and integrate the next wave of intelligent systems. To learn more or apply for Emerj's "AI Catalyst" accelerator program, visit emerj.com/cat1

Today's guest is the great and brilliant Henri Nikula Kaleva, Director at RELEX Labs, a product innovation department of the Helsinki-based RELEX Solutions. RELEX is a leader in retail optimization software, and in today's episode, Henri helps us break down how AI is empowering the future of Retail. Want to discover more opportunities for AI in Retail? Get Emerj's free Executive Brief: emerj.com/ret1

Today's guest is the great and brilliant Dr. Derek Wang, Founder and CEO of Stratifyd. Since 2015, Stratifyd has raised $50+ million for its AI-powered analytics platform, enabling enterprises to transform structured and unstructured human textual data. In this episode, Dr. Wang shares hard-won lessons about conveying the value of AI to potential clients. Getting started with AI in your organization? Discover three critical insights for beginning with AI: emerj.com/beg1

Today's guest is the great and brilliant Brett Beranek, VP of Security & Biometrics at Nuance Communications [NASDAQ:NUAN]. Founded in 1992, Nuance pioneered conversational AI that understands, analyzes, and responds to human language. In this episode, Brett elucidates the opportunity landscape for AI-driven biometric security, focusing on financial services. Want to discover more opportunities for AI in Finance? Check out our other podcast: "AI in Financial Services." And get the AI in FS cheat sheet: emerj.com/fin1

Today's guest is the great and brilliant Dr. Kristof Szalay, CTO and Founder of Turbine.AI. Turbine's AI-driven platform understands cancer's inner mechanisms, enabling the discovery of novel targets & precision medicinal therapies. Episode topics include: dynamics of pharmaceutical technologies, change management opportunities, cultural evolution to support AI initiatives. Want to discover more ways to meet the challenges of catalyzing AI adoption? Try Emerj Plus: emerj.com/p1

Today's guest is the great and brilliant Lorena Pelegrín, Product Manager of InSight, Iron Mountain's AI-driven Content Services Platform. Iron Mountain serves more than 225,000 organizations for secure data & asset storage, spanning 90+ million sq. ft. of data centers and real estate. And Google recently celebrated InSight as its AI & ML Cloud Partner of the Year. Episode topics include: subsurface data, asset inspection workflows, and setting up "digital twins."

Today's guest is the great and brilliant Jim Benton, CEO of Chorus.ai. Chorus has raised over $100 million for its AI-driven platform, which helps sales teams transform conversations into data and insights. Episode topics include: how to build AI-driven products that effectively transform enterprise workflows, best practices for presenting the value of AI initiatives to various stakeholders, how to inspire adoption and ease intimidating factors, and risk management opportunities. Want to discover more best practices for presenting the ROI of AI? Check out Emerj Plus: emerj.com/p1

Today's guest is the great and brilliant Roman Vitkovitsky. Roman supports the Pentagon's Cyberspace operations. He formerly served as COO/CTO of the Marine Corps Cyberspace Operations Group and in stints serving DARPA, NATO, and in multiple adjunct professor roles, to name a few. In this episode, Roman shares how AI is leading the bleeding edge for Cyberspace Defense, enabling nimble actions in complex threat environments. Leaders at all levels may find these insights powerful and relevant. Want to discover AI trends in any sector? Get Emerj's PDF guide: emerj.com/t3

Today's guest is the great and brilliant Shri Santhanam, Global Head of Advanced Analytics & AI at Experian. The international credit reporting agency supports data-driven services in over 100 countries, with a database of over 1 billion individuals. In this episode, Shri breaks down the unique AI opportunities and challenges evolving for Experian. Episode topics include: the evolution of big data & analytics, data accessibility, and the AI skills landscape. Want to discover the best of Emerj's industry insights? Get Emerj Plus: emerj.com/p1

Today's guest is the great and brilliant Kristopher Lorang, FS Product Manager at Iron Mountain, a secure storage company founded in 1951 when Herman Knaust repurposed his mine as a vault. Now a publicly-traded international services firm, Iron Mountain is still a leader in secure storage, which now includes digital record storage and management. The company's history exemplifies how organizations can and should evolve with the times. In this episode, Kris offers a peek at how Iron Mountain is staying on the cutting edge with AI-driven services for document search & discovery. Learn more at: ironmountain.com

Today's guest is the great and brilliant Keith Strier, VP of Worldwide AI Initiatives at NVIDIA. Previously, Keith served as Global AI Leader at Ernst & Young, where he supported nations to form and mature their AI plans. This included the development of AI infrastructure, education, and overall strategy. Dan and Keith met at the UN headquarters when presenting on a panel about the emergence of deepfakes (deep-learning-driven faked faces or other identifiers). Now, Keith shares his perspective on public sector AI planning from his perch at NVIDIA, relating what all enterprises and businesses can learn from the AI strategies of nations. Want to learn more about AI opportunities in the public sector? Get Emerj's US Public Sector AI Opportunity Report: emerj.com/gov1

Today's guest is the great and brilliant Geoffrey Tate, CEO of Flex Logix, a leader in AI chip engineering. In this episode, Geoffrey shares his valuable perspective on the critical use cases for high-powered edge compute across industries like computer vision, heavy industry, retail, and some broad applications useful across any sector. Flex Logix will be presenting at the Edge AI Summit, Nov 18-20, hosted by Kisaco Research. Learn more: https://bit.ly/2RAv62n

Today's guest is the great and brilliant Dr. Ivan Marin, Principal Data Scientist at the Daitan Group, one of America's fastest-growing software engineering firms. Dr. Marin earned his Ph.D. in Physics from EESC-USP. In this episode, he walks us through an exercise using the Machine Learning Canvas, exploring risks and opportunities associated with implementing and scaling AI for small and medium-sized businesses. The Daitan Group builds core technology, data solutions, and software products that scale: daitan.com

Today's guest is the great and brilliant Gilad Turbahn, Sr. Director of Product Management at Apttus, which acquired his former employer, Conga, for $700+ million in 2020, joining Apttus's quote-to-cash capabilities with Conga's contract lifecycle management platform. In this episode, Gilad helps us learn how AI can enhance back-office workflows, clearly mapping the space before and after implementation to show how AI creates value. Want to discover more opportunities to use natural language processing for automation? Get Emerj's free PDF brief: Unlocking the Business Value of NLP emerj.com/nlp1

Today I'm excited and honored to welcome back a long-time mentor who I really respect, the great a brilliant Dr. Charles Martin. Doc Martin received his Ph.D. in Theoretical Chemical Physics from the University of Chicago, where he authored scientific programs in C and Fortran using the Cray supercomputer. His company, Aardvark (later acquired by Google), developed statistical machine learning techniques (SVM, NLP, etc.) for the Aardvark social search engine. Want to expand your AI services? Until tomorrow (10/29), get Emerj's new "Finding AI Opportunities" report free with Emerj Plus membership: emerj.com/op1

Today's guest is the great and brilliant Wijay Wijayakumaran, Chief Architect, ML/DL & AI at IBM Systems. In this episode, Wijay helps us explore AI in surprising spaces, like Elder Care. As populations age worldwide, healthcare organizations across the globe are meeting demand with intelligent technologies. Learn insights gleaned from the heads of AI at Square, Slack, and HSBC with Emerj's AI Opportunities report (free for new Emerj Plus members until 10/30): emerj.com/op1

Today's guest is the great and brilliant Dr. Nick Pilkington, CTO and Founder of Drone Deploy. To date, DroneDeploy has raised 90+ million dollars for its cloud-based drone mapping and analytics platform, which enables capabilities such as automated flight safety checks, workflows, and real-time mapping and data processing. DroneDeploy is compatible with any drone, and industries adopting this technology include agriculture, real estate, mining, and construction. In this episode: Dr. Pilkington breaks down opportunities to enhance user experience and lower entry barriers for AI-driven technologies. Discover more opportunities, frameworks, and infographics for leveling up your AI capabilities with Emerj Plus: emerj.com/p1

Today's guest is the great and brilliant Dr. Dmitry Efimov, VP of Machine Learning Research at American Express. Dr. Efimov has lead the charge to detect fraudulent transactions and activity at Amex. Episode topics include: breaking down the evolution of fraud detection, the future of AI-driven fraud detection, and what's next for AI at Amex. Want to learn more about AI in financial services? Read Emerj's pdf guide: emerj.com/fin1

Today we welcome the return of the great and brilliant Bryton Shang, CEO of Aquabyte, which has raised $10 million to bring AI to fish farming. This episode focuses on the product and processes of Aquabyte as a case study in how to best service industrial managers and workers. Episode topics include: how to build AI products for non-technical audiences, keeping the data science (data labeling, feature selection, etc.) in the hands of the vendor, AI software as a service. Want to learn more about AI at the edge? Join industry leaders at the Edge AI Summit, hosted by Kisaco Research. Attend virtually, Nov 18-20th. Learn more: bit.ly/2RAv62n

Today's guest is the great and brilliant Manuel Terranova, CEO of Peaxy. Since 2012, Peaxy has raised $30+ million to expand its AI-driven platform, helping companies unlock the value of their industrial data. Manuel shares some really valuable insights: diving into the landscape of sensor data e.g. temperature, energy usage, flow rate, GPS, vibration, acceleration, etc., transformational opportunities for predictive analytics, and how to start exploring these opportunities. Learn more: peaxy.net

Today's guest is the great and brilliant Spence Green, CEO of Lilt. Lilt has received $35+ million in venture funding since 2015 to build its AI-powered language translation platform, which combines adaptive neural machine translation technology with an enterprise translation management system. Episode topics include: how to simplify system integrations, when enterprise transformation is required before AI can be implemented, how Lilt can maintain brand voice in nuanced translations across many languages. Want the best of Emerj's insights? Try Emerj Plus: emerj.com/p1

Today's guest is the great and brilliant Bryton Shang, Founder & CEO of Aquabytes, which has raised $10 million to bring AI to fish farming. Bryton shows how AI is opening doors for transformation far from traditional high technology centers. Episode topics also include: how to create a successful AI product that fits into a conventional industrial workflow, how AI can be used to detect and support the health and behavior of fish at farms. Want to learn more about AI at the edge? Join industry leaders at the Edge AI Summit, hosted by Kisaco Research. Attend virtually, Nov 18-20th. Learn more: bit.ly/2RAv62n

Today's guest is the great and brilliant, Ron Bodkin. Ron has served as Director of Applied AI at Google, VP/GM of AI at Teradata, founded multiple technology ventures, and now leads AI & Engineering at Vector Institute and Schwartz Reisman Institute. In this episode, Ron shares how to avoid scattered projects by following a reliable roadmap for leveled investment in AI capabilities. Want to learn about Emerj's best practices and frameworks? Get Emerj's report: "Generating AI ROI": emerj.com/roi1

Today's guest is the great and brilliant Kurt Muehmel, Chief Customer Officer of Dataiku. Dataiku is a unicorn AI platform that has raised $250+ million since 2013 and outranked Google in Gartner's 2020 reports. In this episode, Kurt discusses some of the platform's powerful capabilities and brings it down to earth with some relatable examples. Want to discover more ways to apply AI in your organization? Join Emerj Plus: emerj.com/p1

Today's guest is the great and brilliant Matthew Mattina, Director of Machine Learning Research at ARM. ARM is a leading technology provider of silicon IP and custom SoCs at the heart of billions of devices. Mr. Mattina's research agenda covers deep learning, neural network design & optimization, and HW accelerator architecture, resulting in ISA extensions, SW libraries, novel microarchitectures for ML inference and training, and efficient neural network models. Episode topics include: Mr. Mattina's criteria for AI readiness and how to customize your AI Readiness Checklist. Are you a business or innovation leader exploring opportunities for leveraging AI? Check out Emerj's 9-page Pdf Guide, Beginning with AI: emerj.com/beg1

Today's guest is the great and brilliant Roeland Nusselder, CEO and Co-founder of Plumerai. Plumerai is making deep learning tiny and computationally radically more efficient, to enable inference on edge devices. Episode topics include: nuances of leveraging machine learning at the edge, the limitations and capabilities of ML processing on legacy and standard chipsets. Roeland is presenting at this year's AI Hardware Summit, hosted by our sponsor, Kisaco Research. Attend virtually, Sept 29 - Oct 7. Want to connect with AI industry leaders? Learn more about the Summit here: bit.ly/2Ywz1kU

Today's guest is the great and brilliant Marshall Choy, VP of Product at SambaNova. SambaNova is a unicorn startup that has raised $450+ million since its founding in 2017 to enable optimum performance for any ML training, inference, or analytics model. In this episode, Marshall dives into key trends driving AI hardware innovation. SambaNova is also presenting at this year's AI Hardware Summit, hosted by our sponsor, Kisaco Research. Attend virtually, Sept 29 - Oct 7. Want to learn more? Visit: https://aihardwaresummit.com/events/ai-hardware-summit

Today's guest is the great and brilliant Abinash Tripathy, CEO and Founder of HelpShift, an AI-powered support platform installed on more than two billion devices worldwide. HelpShift has raised $50+ million in venture funding since its founding in 2011, and its customers include giants like Microsoft, Xfinity, and Zynga. Dan's last interview with Abinash covered the challenges of AI deployment in the enterprise. This episode's topics include: chatbot capabilities, best/worst AI deployment approaches, lessons learned, and which problems are solvable with AI. Want to learn more about chatbots and other NLP use cases? Download Emerj's guide: emerj.com/nlp1

Concluding Emerj's first AI Futures series, Dan speaks with Dr. Hugo de Garis, an enigmatic figure in AI research, who has been publishing and positing on AI methods and implications for 30+ years. Dr. De Garis ran the Artificial Brain Lab at Xiamen University. His controversial book, "The Artilect War," plays out potential conflict between AI proponents, dissidents, and the machines themselves, as AI's power rises. Episode topics include: technology-centered conflict scenarios, the AI control problem, the nature of human relationships with potential superintelligent AI, and possible forms of effective AI governance. 

Conversations in this series have spanned from near-term governance to far-out notions. What do you think? And what would you like to hear next? Let us know: emerj.com/pod3

Today we're excited to welcome the return of the great and brilliant Sankar Narayanan. Sankar is Chief Practice Officer of Fractal Analytics, a unicorn AI & analytics services firm, which has raised $300+ million since its founding in 2000. Fractal Analytics offers a range of products and services, empowering optimal decisions across the world's largest enterprises. Episode topics include: dynamics on the buyer and vendor side for potential new AI/analytics partnerships, setting realistic expectations for a first project together, and the right questions to ask when vetting potential vendors or clients. Are you a non-technical professional, exploring opportunities to apply AI in your business? Download Emerj's guide: "Beginning with AI" emerj.com/beg1

 

Today's guest is the great and brilliant Dr. Michael Segala, CEO and co-founder of SFL Scientific, a Boston-based Data Science and AI consultancy. Dr. Segala earned his Ph.D. in Physics from Brown University and co-founded SFL Scientific in 2015. Since then, his firm has grown to 30+ employees, was chosen as Nvidia's Service Delivery Partner of the Year (for the last two years), and has earned growing partnerships with distinguished clients like the US Military. Episode topics include: how data science can empower and automate Defense analysis, pattern recognition for anomaly and threat detection, and opportunities for embedding AI to support current and future workflows. Want to level up your organization's AI capabilities? Try Emerj Plus: emerj.com/p1

Today's guest is the great and brilliant Dr. Ben Goertzel, the man who coined the term AGI with his eponymous book, "Artificial General Intelligence." Dr. Goertzel is known by many from his role as Chief Scientist of Hanson Robotics, where he lead the creation of Sophia, the first robot to be granted national citizenship. Dr. Goertzel founded OpenCog, an open-source software framework for AGI. He also founded SingularityNET, a decentralized marketplace for AI algorithms. Episode topics include: Dr. Goertzel's optimistic vision for AGI's future, how it might be born, and why decentralized frameworks may offer the most fertile ground for AI evolution.

Dan and Ben first met in 2012, and we're grateful to Ben for keeping up the conversation. No series on the Future of AI would be complete without him.

Today's guest is the great and brilliant Rick Calle of M12, Microsoft's corporate venture fund. M12 has leveraged Microsoft's leadership and know-how to allocate billions across its portfolio of 100+ startups. In this episode, Rick shares insights from M12 and hones in on critical levers that AI-driven enterprises can pull to reduce their energy costs. Rick is also one of the presenters at this year's AI Hardware Summit, hosted by this episode's sponsor: Kisaco Research. Attend virtually, Sept 29 - Oct 7. Register today!

 

 

The great and brilliant Dr. Kristof Szalay returns to the podcast. Dr. Szalay is CTO and Founder of Turbine.ai, a simulation-driven drug discovery company, delivering targeted cancer therapies to targeted patient populations. Today's episode topics include: how AI integrates with the phases of drug discovery, development, and generally applicable enterprise deployment challenges. Want to discover opportunities to integrate AI in your organization? Try Emerj Plus: emerj.com/p1

Today's guest is the great and brilliant Dr. Steve Omohundro, Chief Scientist at AIBrain. AIBrain is creating Turingworld, a powerful AI learning social media platform based on AI-optimized learning, AI-powered gamification, and AI-enhanced social interaction. Dr. Steve Omohundro received his Ph.D. in Physics from U.C. Berkeley. He also founded an organization to support AI safety and another organization to advance new intelligence architectures based on the programming language Omda, the specification language Omex, and the semantics language Omai. Episode topics include: how humans can build safe AI, what facets of AI development might/might-not require global governance, how the international community might best collaborate to prioritize AGI development efforts, and how AI may influence our lives as consumers.

The great and brilliant Tim Estes returns for another conversation, this time focused on AI readiness. Tim is Founder & CEO of Digital Reasoning, an American AI company that raised over $130 million to bring cognitive computing services to intelligence agencies, financial institutions, and healthcare organizations. This episode's topics include: what AI readiness means, ground rules and AI readiness components including: data, expertise, and in-house talent. Want to learn more about how to implement AI in your organization? Download Emerj's guide: emerj.com/beg1

Today's guest is the great and brilliant Dr. Gregory Diamos, Transformation Engineer at Landing AI, an innovative AI engineering firm founded by Andrew Ng (who also founded Coursera and deeplearning.ai). Dr. Diamos holds a Ph.D. in Electrical Engineering from Georgia Tech. Previous to his current role, he served as Silicon Valley AI Research Lead for Baidu, after stints at Nvidia and Intel. Episode topics include: what sets apart AI hardware from other CPU's, what businesses and industries will especially benefit from advances in AI chips. Dr. Diamos is one of the presenters at this year's AI Hardware Summit, hosted by this episode's sponsor: Kisaco Research. Attend virtually, Sept 29 - Oct 7. Register today!

Today we step farther into AI futures with the great and brilliant Jerome Glenn, Executive Director of The Millenium Project. This participatory think tank publishes the annual "State of the Future." For over a quarter of a century, Jerome has collaborated with organizations from the Red Cross to the Korean government to map out potential futures. Episode topics include: critical global stakeholders for technology governance, win-win scenarios for international collaboration, how artificial general intelligence might transform the future.

Today I'm excited to welcome the return of one of our veteran guests, the great and brilliant Dr. Babak Hodjat, VP of Evolutionary AI at Cognizant, one of the world's most intelligent enterprise IT integration & service firms. Babak has 20+ years of AI experience, founding his first AI startup in 1998 in the SF Bay area and later founding Sentient Technologies, which raised $174 million to innovate with AI in trading. In this episode, Babak shares best practices for pilot projects, to set expectations for enterprise implementations. Want to learn more about how to get started with AI in your organization? Check out Emerj's guide: emerj.com/beg1

Today's guest is the great and brilliant Dr. Francisco Zamora-Martinez, Facial Biometrics Lead at Veridas. Francisco received his Ph.D. from the Universitat Politècnica de València (UPV), specializing in Artificial Intelligence, Pattern Recognition, and Digital Imaging. Episode topics include: opportunities and challenges presented by facial recognition and biometrics, unique opportunities for AI innovation in Europe, and how Europe is leading technology transformation. Want to learn more? Check out Emerj's professional reports: emerj.com/reports

Today I'm happy to bring you another futurist discussion, with the great and brilliant David Wood. David holds degrees in Mathematics and Philosophy from Oxford University. He is a thought leader and activist in multiple organizations, notably serving as Board Director of SingularityNET (with Ben Goertzel), Chair of the London Futurists, and Executive Director of Transpolitica. Episode topics include: David's perspective on the practical steps and interim goals that could lead toward broader international collaboration for AI governance, bridges from near-term to long-term governance, potential transformations of international politics, and other issues of AI ethics.

Listen to Dan's interview with the great and brilliant Dr. Derek Wang, CEO and Founder of Stratifyd. Dr. Wang's AI-powered analytics company has raised $50 million+, enabling enterprise companies to transform structured and unstructured human textual data from a unified platform. Episode topics include: a view of analytics for financial services before and after transformation for machine learning, the maturity landscape from retrospective dashboards to predictive analytics, and Derek's hard-won lessons from new implementations. Want to discover the core AI use cases driving transformation in Financial Services? Get Emerj's FS Cheat Sheet: emerj.com/fin1

Today I'm excited to welcome back the great and brilliant Peter Voss, founder/ CEO/ Chief Scientist of Aigo.ai and AGI Innovations. Peter is one of the world's most prominent minds in the Artificial General Intelligence (AGI) space. Peter collaborated and contributed to AGI work with Ben Goertzel, which resulted in the eponymous book, Artificial General Intelligence, and Shane Legg, now Chief Scientist at Google's DeepMind. Episode topics include: potential futures for AI capabilities and legislation, and what it means to prepare for an AI boom. Peter's first podcast appearance was back in 2013, and I've had the pleasure of swapping ideas with him about his work and publications over the years since. He's an essential mind in this space, and I'm grateful to have him back as a contributor to this series.

Mark Ewing, Sr. Technologist and Architect at Eastman Chemicals, emphasizes identifying key leverage points for AI as foundational for successful and profitable AI adoption in the enterprise. He asserts that the challenges of high engineering and adequate staffing are made easier with clear and compelling opportunities in scope for executives. Eastman has delivered specialty chemicals for over 100 years, earning over $9 billion in revenue for 2019. We're grateful to learn from his highly valuable perspective atop Eastman's formidable presence in the industry. Aiming to transform your organization's capabilities for AI readiness? Download Emerj's guide: emerj.com/beg1

Today I'm excited to share a conversation with Mark Gazit, CEO of ThetaRay. This New York-based fintech firm raised over $80 million to expand threat detection solutions to critical infrastructure, financial institutions, and other verticals. Mark speaks about where AI is enabling new capabilities in compliance and fraud detection, shares valuable insights for successful AI deployments, and risk management lessons that translate to other industries. Want to apply AI in finance? Download Emerj's AI in Financial Services Cheat Sheet: emerj.com/fin1

Today I'm excited to welcome back long-time friend and alumnus of the podcast, Dr. Roman Yampolskiy. Roman is Director of the University of Louisville's Cybersecurity Lab. He has authored four books and many more academic publications about AI, cybersecurity, AI safety, and other areas of computer science. This discussion jumps off from ideas in his most recent book, "Artificial Superintelligence: a Futuristic Approach," and unpacks further-out AI futures, exploring possibilities and challenges pertaining to AI governance, artificial general intelligence, and more...

Priya Rajagopalan, Chief Product Officer of FourKites, shares how to leverage AI for a real competitive advantage. FourKites has raised over $100 million in venture capital to build an end-to-end supply chain visibility platform that major global companies use to track and manage freight. This conversation sheds light on how emergent intelligence is disrupting even the world's most stable and traditional industries. Enterprise strategy and innovation leaders may glean valuable insights from this example. Want to discover more case studies and insights? Explore Emerj's AI Best Practices Library: emerj.com/p1

Dr. Tanushree Luke, Head of AI at US Bank (USA's 5th largest bank), shares pragmatic opportunities for improving customer experience in banking, by learning from customer interactions. For example: how to prompt users with the right features and services to predict needs and solve problems more effortlessly. Dr. Luke earned her Ph.D. in Theoretical/Mathematical Physics and MS in Physics and Applied Engineering from George Mason University. Previously she served as the Head of Predictive AI and Machine Learning for Capital One's Conversational AI Platform. Dr. Luke also served as Technical Lead for the Department of Defense/DARPA Network Defense Program and held leadership roles at companies supporting the Department of Homeland Security and the Department of Energy. Want to learn more about AI opportunities in banking? Download Emerj's AI in Banking Cheat Sheet: emerj.com/cs1

Our AI Futures series aims to share perspectives from those pushing the boundaries of technology, and this episode's discussion steps toward farther-out potential futures.

Before founding the US Transhumanist Party, Zoltan earned a degree in Philosophy & Religion from Columbia University, worked as a reporter for National Geographic, and served as a Director for WildAid (a nonprofit protecting endangered species). In recent years, he's shifted his focus to authorship, speaking, and activism, with a focus toward the long-term future for humanity. His book, "The Transhumanist Wager," is an Amazon best-seller.

This episode dives into perspectives pertinent to the future of AI governance e.g. dynamics of the USA-China AI race, the "winner-take-all" potential for powers controlling artificial general intelligence (AGI), and China's potential rise in an environment with fewer regulations and hurdles for transformational technologies like AGI, gene editing, and neurotech.

Manny Medina, CEO and co-founder of unicorn startup Outreach.io, shares wisdom from the trenches of AI adoption. We're excited to have him on for many reasons - to celebrate his success (Outreach's valuation recently surpassed $1 billion), exemplify how AI early adopters are disrupting Industry, and learn from his real-life journey of AI adoption. He shares how he thought about potential leverage points for AI, the kinds of experiments necessary to test these opportunities, what Outreach learned the hard way, and what they feel like they're getting right.

Before Outreach, Manny was employee number three on Amazon's AWS team and led the Microsoft mobile division from launch to $50M in annual revenue. He holds an MBA from Harvard and a Masters in Computer Science from the University of Pennsylvania.

Outreach is a sales engagement platform that accelerates revenue growth by optimizing every interaction throughout the customer lifecycle. The platform manages all customer interactions across email, voice and social, and leverages machine learning to guide reps to take the right actions. Customers include Cloudera, Glassdoor, Pandora, Zillow.

This episode was inspired by Emerj's community, requesting more tales and lessons learned from successful AI implementations. What else do you want to hear? We'd love your feedback and ideas. Get engaged with Emerj Plus: emerj.com/p1.

Nicholas Pilkington, CTO and Co-Founder of DroneDeploy, breaks down drone technology trends and dives into some powerful use cases in heavy industry. Notably, drones are transforming best practices for equipment maintenance monitoring by using computer vision. Nick goes into great detail about the process improvement opportunities in this space and shares valuable insights about the trajectory of drone technology capabilities.

To date, DroneDeploy has raised 90+ million dollars for its cloud-based drone mapping and analytics platform, which enables capabilities such as automated flight safety checks, workflows, and real-time mapping and data processing. Industries adopting this technology include: agriculture, real estate, mining, construction, and many other commercial and consumer arenas. DroneDeploy is compatible with any drone.

Want to learn 3 ways to find AI trends in any sector? Download Emerj's free pdf: emerj.com/t3

Ben Garfinkel is a Research Fellow at Oxford's Future of Humanity Insitute (FHI). In this episode, he breaks down key issues central to the near-term formation of good AI governance, such as: the comparative advantages of centralized vs decentralized governance structures, the influence of big tech on governance, etc. He does a great job of presenting the possibilities in clear and objective terms for consideration. We're grateful for Ben and FHI's seminal and leading contributions to AI governance, and - writ large - we suggest that our listeners and clients take heed and engage with the important work manifesting from FHI's brilliant minds.

Ben is a DPhil student at Oxford’s Department of Politics and International Relations. He previously earned a degree in Physics and in Mathematics and Philosophy from Yale University.

FHI is a multidisciplinary research institute at the University of Oxford. Academics at FHI bring the tools of mathematics, philosophy and social sciences to bear on big-picture questions about humanity and its prospects. The Institute is led by Founding Director Professor Nick Bostrom, author of "Superintelligence".

Today's discussion is with Brett Beranek of Nuance Communications, arguably the best-known NLP company in the world. Nuance has been selling AI to enterprises for decades, earning billions of revenue in this mature space. In this episode, Brett shares valuable insights and predictions about how technology priorities might and should transform in the post-Covid world. Learn more with Emerj's Pandemic Response - Business Continuity Playbook: emerj.com/p1

Glen de Vries cofounded Medidata in 1999, offering SaaS-based clinical development solutions addressing the functioning of customers' clinical trials, and 20 years later the company - which he still leads - sold to Dassault Systemes for almost $6 billion. What a triumph, Glen! Thank you for joining the podcast. Listen in as Glen shares his unique and valuable perspective on the current state and potential futures for the data ecosystem in Life Sciences. Want to stay on the cutting edge of emerging data-driven technologies? Try out Emerj Plus: emerj.com/p1

Today's interview is with, Konstantinos Karachalios, Managing Director of the Institute of Electrical and Electronics Engineers Standards Association (ieee.org).

Konstantinos earned a Ph.D. in Energy Engineering (nuclear reactor safety) from the University of Stuttgart. Before IEEE, Konstantinos played a crucial role in international scenario simulation for large-scale nuclear reactor accidents. And with the European Patent Office, his experience included establishing EPO’s patent academy.

For 100+ years, the IEEE has developed global standards for bleeding-edge technologies like nuclear power, blockchain, nanotech, systems engineering, and many more. Emerj is a big supporter of the IEEE's AI standards for "Ethically Aligned Design", and in this talk, we speak about what's happening in the early stages of AI standards and policy formation around the world.

In this podcast Joel Minnick, AI & ML Strategy Leader at Amazon Web Services (now VP at Databricks), shares his valuable perspective on what defines "AI Readiness" for large enterprises. Want to discover how to pick high-ROI projects? Explore Emerj's flagship Research and Strategy Services: emerj.com/aiol

Today, Peter Durlach, Senior Vice President of Nuance Communications, joins the podcast to discuss important and timely opportunities for AI in Healthcare. Peter shares how enhancing and automating key elements of physician workflows with intelligent solutions can ease the workload and reduce burnout among physicians. Want to discover more AI trends? Explore Emerj's 4-page Guide: emerj.com/t3

In June 2019, the G20 adopted human-centered AI Principles that draw from the OECD Principles on AI. Emerj was invited to Paris to collaborate with the OECD's AI Governance efforts, and today we're excited to share this interview with Karine Perset, Economist and Policy Analyst at the OECD's AI Policy Observatory. She speaks about the role of principles in the formation of national legislation, international governance, and shares how leaders can nudge the evolution of powerful technologies like artificial intelligence, to steward a safe and abundant world.

Today's guest is Sankar Narayanan, Chief Practice Officer at Fractal Analytics, a unicorn company in Bangalore. Sankar's last interview with Emerj was last year's most popular episode: "How to measure the ROI of AI". We're excited to share more of Sankar's insights in this episode, with a special focus on how to deploy and position AI pilot projects for momentum that leads to bigger and better projects. For more insights gathered's from global AI leaders like Nick Bostrom, Stuart Russell, and Ben Goertzel, check out Emerj Plus - emerj.com/p1

Today we kick off the first in a series of discussions about AI in Europe with Martin Musiol, Sr. Data Scientist at IBM. Martin is a member of IBM's Technical Expert Counsel, and in this episode he speaks about what makes the European ecosystem different, providing what may be a peak ahead for other nations following Europe's leadership regarding regulation and data-sharing. Learn more with Emerj's Beginning with AI Guide: emerj.com/beg1

In this first episode in our 12-part Saturday "AI Futures" series, UC Berkeley Professor and renown AI expert Stuart Russell shares his perspectives on the near and long-term considerations of AI governance.

https://emerj.com/ai-podcast-interviews/stuart-russell-ai-governance/

Visit the blog post for this article, and subscribe to the podcast on your favorite podcast platform.

From June 27th to September 12th, we'll be covering a new "AI Futures" episode about AI governance every Saturday. This is an experimental series designed to extend current AI trends to long-term AI consequences. We hope you'll enjoy.

Today we interview Babak Hodjat, VP of Evolutionary AI at Cognizant, one of world's largest IT integration & service firms. Babak has 20+ years of AI experience, starting his first AI startup in 1998 in the SF Bay area, and later founding Sentient Technologies which raised $174 million to innovate with AI in trading. In this episode, Babak says "AI should be disruptive.", and leaders should "go big". Want to learn more about how to make the business case for AI? Check out Emerj Plus: emerj.com/p1

Today's guest is Jim Barnebee, VP of AI and Infrastructure at GetSwift, a public company that has raised $143 million to bring AI to the world of Delivery - with a smart platform enabling driver management, dispatch tasks, and tracking in real-time. Jim highlights the 2 areas where he thinks logistics will be impacted the most, breaks down hurdles to successful AI deployment, and discusses multiple promising use cases. Emerj has assessed over 80 AI vendors in the logistics and supply chain space. Learn more about Emerj's AI Opportunity Landscape here: emerj.com/aiol

Today we interview Scott Nowson, AI Lead at PwC Middle East. Scott has a Ph.D. in Informatics, with a focus in NLP. Also check out Emerj's guide: Practical Steps to AI Deployment at emerj.com/beg1

In this episode, we interview Yaron Lavie, VP of Products at Earnix. Yaron breaks shares powerful insights about how AI can be leveraged for customizing financial service products, as well as for other use cases in insurance and banking. For quick and valuable insights, download Emerj's AI in Insurance Cheat Sheet: emerj.com/ins1

What's next for AI in logistics? Listen as we break down prescient trends with Tim Gagnon, VP of Analytics & Data Science at CH Robinson, a $16+ Billion logistics & supply chain company based in the USA. Want to implement AI but you're not sure where to start? Discover 3 Key Insights for Non-Technical Professionals to Deploy AI: emerj.com/beg1

Today our guest is Nayeem Islam, CEO of Blue Hexagon, a bay-area cybersecurity firm that has raised $37 million+ for innovation in expansion. This episode focuses on AI applications for cybersecurity in Retail. For a quick breakdown, check out Emerj's AI in Retail Cheat Sheet: emerj.com/ret1

Discover how to nurture alignment that closes AI deals, as we interview Tim Estes, Founder & CEO of Digital Reasoning, an American AI company that raised over $130 million to bring cognitive computing services to intelligence agencies, financial institutions, and healthcare organizations. Whether selling or buying, technology leaders need to ask the right questions before purchasing or implementing AI solutions. In this episode, Tim offers his valuable perspective on how to match AI solutions with real business problems, how to estimate and quickly calibrate ROI, and how to effectively communicate with decision-makers. Discover our full range of high-ROI use cases for AI with Emerj Plus: emerj.com/p1

This week we interview Gary Swart, Partner at VC firm Polaris Partners, former CEO of oDesk (now UpWork, NASDAQ;UPWK), the world’s largest online service marketplace. Gary’s portfolio includes investments in innovative medtech and pharmaceutical companies. And in this episode, he shares his valuable perspective on how the pandemic may transform the opportunity landscape, at the intersection between AI and Healthcare technology. Discover our full range of high-ROI use cases for AI with Emerj Plus: emerj.com/p1

Discover how to leverage the learning capabilities of AI for strategic advantage, as we interview H.P. Bunaes, former Chief Data Officer at Suntrust, now Director of Banking for Data Robot, a Boston-based startup which has raised over $400 million to innovate enterprise AI solutions. H.P. shares his valuable perspective on how strategic leaders can outmatch competition by enhancing the speed at which the organization can learn, with AI-driven technology. What will separate winners from losers in the new economy? Discover 3 keys with Emerj’s Guide here: emerj.com/k3

Discover how AI is transforming procurement as we interview Edmund Zagorin, founder of a bay-area, venture-backed startup called BidOps. Edmund shares his valuable perspective about what the future of AI in procurement looks like and how it ties into the broader landscape of logistics and supply chains. Learn more about how to make the business case for AI in the enterprise: emerj.com/p1

Discover how AI may shift the workflows and approaches to trading as we interview Ash Fontana, managing director at Zetta Venture Partners, a Silicon Valley-based venture capital firm focused on AI-first companies with B2B business models. Ash shares his valuable perspective on the present and future of AI in trading. Access Emerj's AI in Financial Services Vendor Landscape Brief here: emerj.com/vl1

This week we interview Gary Swart, Partner at VC firm Polaris Partners, former CEO of oDesk (now UpWork, NASDAQ;UPWK), the world’s largest online service marketplace. In this episode, he offers a pragmatic perspective about opportunities and challenges for AI adoption in the current economic climate.

Discover our full range of high-ROI use cases for AI with Emerj Plus: emerj.com/p1

Logistics is behind the time when it comes to data maturity, and it's nearly impossible to get predictive value from disjointed data. This week, Priya Rajagopalan or FourKites shares critical lessons for finding value in logistics data - as well as AI use-cases already making their way into the supply chain.

Learn more about Emerj Plus (emerj.com/p1), and discover our complete AI White Paper Library - including our latest PDF brief: "AI and the Future of the Supply Chain - 3 Critical Trends".

When it comes to AI, the EU is known more for its regulation than its innovation, but it might not have to be that way. This week, Cedric O, French Secretary of State of the Digital Economy, shares his thoughts about balancing the preservation of values and rights with the prosperity and opportunity of new technology.

If you sell AI-related produces or services, and want to find opportunities to sell into the US government, learn more about our "Public Sector AI Opportunity Report" at emerj.com/gov1.

This interview took place in Paris at OECD headquarters. Thank you to the OECD for arranging this interview and providing a recording room.

Every six months, the landscape of AI vendors and enterprise use-cases is shifting. This week, Gary Hagmueller of Clara Analytics shares his perspective on the kinds of tasks and processes most rip for AI transformation in insurance - with examples and explanations that any businessperson can understand. Stay ahead of insurance AI innovation with our PDF white paper "AI in Insurance Executive Cheat Sheet" - download your copy: emerj.com/ins1

Ryan Smithright is a Research Fellow at Emerj Artificial Intelligence Research, and the lead author in our latest "US Public Sector AI Opportunity Report" (learn more at emerj.com/gov1). Ryan spent months investigating and documenting the various AI initiatives, budgets, and strategies for different branches of the US government, and in this interview he breaks down some surprising trends and data snapshots from the complete report. Anyone with an interest in selling AI to the US government should get a lot out of this unique episode.

Chatbots are a hot topic, but it's just the tip of the iceberg in terms of the broader evolution of the customer experience. This week we're joined by Suhas Uliyar, VP of Digital Assistant AI & Integration at Oracle. Suhas breaks down key areas of user experience change, and how AI is helping (or could help) to usher in that transformation. If you're new to chatbots and NLP applications, download our "Unlocking the Business Value of NLP" PDF guide: www.emerj.com/nlp1

Emerj CEO Daniel Faggella recently spoke at the OECD headquarters in Paris for the creation of their AI Policy Observatory. At the event, we spoke with this week's guest: Lynne Parker, Deputy Chief Technology Officer at the White House Office of Science and Technology Policy.

Lynne talks to us about what the US is doing with AI currently at a national level and what the country's priorities are when it comes to AI.

This interview is made all the more relevant by the fact that the private sector is freezing up due to the coronavirus. Meanwhile, the public sector is still spending money on AI and innovation. If you want to learn what the opportunities are for vendors and service providers that want to work with the US government, get our US Public Sector AI Opportunity Report at emerj.com/gov1.

Small companies and enterprises alike are drastically changing their AI strategies in response to the coronavirus.  This week, we talk about what it looks like to develop an AI strategy the right way during these disruptive times.

We interview Joel Minnick, Head of Marketing for AI at Amazon Web Services. Joel breaks down his take on how AI can be used to competitive advantage and why an AI strategy is the foundation of that advantage.

If your company is just getting started with AI strategy, be sure to download our Beginning With AI guide at emerj.com/beg1.

In this episode, we focus on digital twins and how AI will impact the future of manufacturing.

Our guest is Laurent Laporte, CEO of Braincube, a company focused on AI In manufacturing. This episode is sponsored by Braincube.

For more information on sponsorship opportunities, visit emerj.com/advertise.

Although the insurance industry doesn't get as much press about its use of AI as banking, the AI applications large insurance carriers are developing are no less transformative to core processes. 

This week, we speak with Tom Harrington, the head of the insurance wing at Pegasystems. Tom talks about how automation and AI are making their way into different insurance processes today and how they will change the way employees at large insurance carriers work. 

If you're interested in discovering best practices for AI adoption and deployment, consider joining our Emerj Plus membership at emerj.com/plus.

Supply chains are frozen, teams are working remote, and sales cycles are unpredictable.

This week, we interview Paul Noble, CEO of Verusen, an AI-enabled logistics company. Paul discusses the impact of AI on supply chain and logistics and the new AI capabilities that will be all the more relevant in a post-coronavirus world.

Paul also reviews some of the key themes from our AI Business Continuity Action Plan, which comes complimentary with Emerj Plus, including critical ideas about how business leaders can make their business disaster proof. Learn more about the report and Emerj Plus at emerj.com/ap1.

 

This week, we speak with Liga Semane, Policy Advisor at the European Banking Federation, about how tech priorities for business leaders in financial services are shifting right now because of the coronavirus crisis.

Liga shares some of her best ideas about business continuity and risk, as well as some of her experience witnessing the reaction from global European banks and their priority shifts in AI projects and initiatives.

This is one of dozens of interviews we've put together for our latest report, the AI Business Continuity Action Plan. It will eventually be offered for sale, but we are currently giving it away free with a subscription to Emerj Plus. Learn more and get the report at emerj.com/ap1.

In this episode, we speak to Saurabh Suri, CIO and managing partner at CerraCap Ventures, about building AI products for the enterprise. Saurabh discusses what he's seen work and not work across his portfolio of AI investments when it comes to their interface with the enterprise.

We talk about the challenges that come with not only building a product but actually deploying it in the enterprise.

If you want to learn more about how we discover which  you can do so at emerj.com/aiol

When it comes to applying AI in the enterprise, it's useful to get the perspectives of companies that have bought AI products before. But it's also useful to get the perspective of companies that have sold AI.  They have an idea of what it's like when a company buys AI for the wrong reasons and when a company buys AI for the right reasons.

This week we speak with Don Vadakan, Head of Sales at Fractal Analytics. He gives his advice for vendors and service providers that are selling AI in the enterprise, including how to attract attention from potential buyers the right way. His advice is also applicable to enterprise leaders thinking about working with vendors.

If you're selling AI into the enterprise, be sure to download our B2B AI Lead Generation Guide at emerj.com/b2b1

This week, we interview Marsal Gavalda, Head of Machine Learning at Square. Marsal gives his take on how to leverage AI for competitive advantage.

Specifically, he talks about the elements of culture and teams. If you want to to build a company culture in which teams can leverage AI in a nimble fashion and wield it in different areas of the business, Marsal's advice will be useful.

If you're looking to get started with AI at your company, download our Beginning With AI Guide at emerj.com/beg1.

This week on the newly rebranded AI in Business Podcast, we speak with Rashida Hodge, VP, Insurance Industry at IBM, about buying and selling AI in the enterprise.

If you are someone at a big company looking to buy AI, you're going to learn a lot about what to do and what not to do in this episode.

If you're looking to sell AI to the enterprise, you will learn how to avoid wasting time and money without gaining traction in the enterptise.

 

If you are selling AI, be sure to download our B2B AI Lead Generation Guide, a 7-page PDF put together for vendors at emerj.com/b2b1.

We are changing the name of our podcast to AI in Business. In this episode, Dan explains why, talks about what's new at Emerj, and discusses some of the feedback we've received from our listeners.

This week, we dive into how AI is evolving personalization as we now know it. Brian Walker is Chief Strategy Officer at Bloomreach. He speaks with us about how Personalization works today in retail and how it will work tomorrow. He also discusses how AI can add additional context to the user's experience and how it can allow companies to make stronger calls to action.

If you're interested in more AI use-cases in retail, be sure to download our AI in Retail Executive Cheat Sheet at emerj.com/ret1.

 

 

In this special bonus episode of the podcast, Emerj spoke with Dileep George, co-founder of AI company Vicarious, which has raised over $100 million in venture funding, for Kisaco Research’s Brain Inspired Computing Congress 2020, which takes place April 21 – 22 in Milpitas, California

We spoke with Dileep about the unique requirements and considerations for adopting AI in robotics use-cases, as well as where AI-enabled robotics will play a role in business in the new decade.

This week, we explore a novel use-case of AI in marketing: copywriting. Can AI write a better email subject line or social media post than a human being? Sometimes, the answer is yes.

We interview Parry Malm, CEO of Phrasee, an AI company that got its start optimizing email subject lines with AI. Parry speaks with us about this particular AI capability and how it will impact the future of marketing.

If you have an interest in discovering more about the AI use-cases in your industry, watch the 2-minute video about our AI Opportunity Landscape Service at emerj.com/aiol.

On this special bonus episode of the podcast, we spoke with Victoria Rege, Director of Alliances & Strategic Partnerships and Graphcore, for Kisaco Research's AI Hardware Summit in Europe, which takes place October 29 - 30th in Munich, Germany.

We discuss the current challenges enterprises are facing in adopting and using AI hardware. We then project where AI hardware may find a home in business in the new decade.

Personalization is an area that is going to move fastest in retail and will spin out into other industries from there. This week, we interview the CTO of a company that does exactly that: Tyler Foster of Evolv.ai. Tyler gives his perspective on what personalization can do today and where AI will make its way into the future of retail.

Download our AI in Retail Executive Cheat Sheet, a short collection of AI use-cases in retail and a rundown of AI-related terms in retail at emerj.com/ret1.

This week, we're continuing our month-long focus on AI use-cases in retail and eCommerce. Our guest this week is Mahmoud Arram, CTO and Founder of Bluecore. Mahmoud's focus is on the marketing and advertising side of retail.

He provides an interesting perspective on how AI could evolve marketing processes in terms of getting the right message in front of the right person at the right time.

Be sure to download our AI in Retail Executive Cheat Sheet, where we lay out the basic use-cases of AI in retail in eCommerce and define key AI-related terms in the industry at emerj.com/ret1.

This month on AI in Industry, we focus on AI in retail and eCommerce. Our first guest is Guru Hariharan, CEO of CommerceIQ. Guru shares his thoughts on the current impact of AI on retail and eCommerce today, including in sales, marketing, and supply chain.

We've recently put together our AI in Retail Executive Cheat Sheet, an overview of prominent AI use-cases in retail and eCommerce. Also included is a glossary of key terms businesspeople in retail need to know to navigate the AI conversation in their industry. Download it at emerj.com/ret1.

Our guest this week is Dr. Charles Martin of Calculation Consulting, a bit of a mentor of mine when it comes to AI in the enterprise. He understands a lot of the ups and downs of what it takes to apply AI in business.

He speaks with us this week about how to determine your vendor needs. Are you looking for a consultant? A specific vendor? Are you looking to partner with a vendor?

Figuring this out right off the bat might be the easiest way to save money and time.

If you're picking a vendor for your company or for your clients, be sure to download our free pdf guide on the topic: 5 Ways to Select the Right AI Vendor

Our guest this week is Gaurav Srivastava, CTO at Fareye, an AI company in the logistics space. Gaurav talks about which elements of the existing procurement procedures in the enterprise can stick around and which need to be different when it comes to shopping for AI and looking for new AI solutions.

He talks about demos, pilots, social proof, and troubleshooting some of the potential issues that come up when looking for the right AI vendor. 

If you haven't already downloaded our PDF guide, 5 Ways to Select the Right AI vendor, you can do so at emerj.com/buy1

We continue our theme this month on buying and procuring AI in the enterprise with this week's guest: Shane Zabel, Head of AI at Raytheon. Shane has seen plenty of internal AI applications and heard plenty of AI vendor pitches. As such, he has some simple and succinct advice for picking an AI vendor that he shares with us on this episode of AI in Industry.

If you haven't already, download our free PDF guide: 5 Keys to Selecting the Right AI Vendor at emerj.com/buy1

It's our first AI in Industry episode of the decade. January's theme is on buying and procuring AI in the enterprise.

Many of our readers at Emerj want to know which vendors and use-cases are legitimate and which are riding the hype. When it comes to picking an AI vendor, that knowledge is critical. 

Our guest this week is Pranay Agrawal, CEO of Fractal Analytics. Pranay shares some of his advice on the technical and cultural considerations for finding the right vendor partner.

If you're interested in learning more about working with an AI vendor, we've created a quick PDF guide called 5 Keys to Selecting the Right AI Vendor, which you can download at emerj.com/buy1.

We've touched on a lot of different kinds of expertise in this month-long series on using AI for competitive advantage. We end things by speaking with someone from the startup world: Adam Oliner, Head of Machine Learning at Slack. He speaks with us about building a data moat around your business when it comes to building AI solutions in-house. He puts the overall theme for leveraging AI for competitive advantage very succinctly. 

If you're just getting started with AI in your business, be sure to download our succinct guide to adopting AI, Beginning With AI, at emerj.com/beg1.

This week, we speak with Ylan Kazi, VP of Data Science and Machine Learning at UnitedHealth Group.

Ylan speaks with us about his take on how AI can be leveraged for competitive advantage, including how to build a "flywheel" of data and build on critical capabilities for adopting AI in the enterprise.

If you're at an existing business and looking to get started with AI, be sure to download our free report, Beginning With AI, at emerj.com/beg1.

 

This week, we speak with Abigail Hing Wen, Co-Chair of the Fairness, Transparency, and Accountability Expert Group, Machine Learning Transparency. We discuss which AI capabilities actually have the most traction in terms of the science. Most importantly, Abigail talks about how business leaders can wield these promising capabilities in their industries.

If you're interested in getting started with AI capabilities, be sure to download ur free Beginning with AI report at emerj.com/beg1.

This week on AI in Industry we continue our theme of focusing on "The Competitive Advantage of AI." Babak Hodjat shares his insights about critical decision-points within a business, and how to leverage them to find high-ROI AI opportunities.

Download our free PDF report titled "3 Ways to Discovery AI Trends in Any Sector": emerj.com/t3

This month's theme is on using AI for a competitive advantage. We speak first with Monika Wilczak, Managing Director of AI at EY. Monika speaks to us about how large companies can start to get an edge over the competition by leveraging AI, emphasizing how companies can get started with gaining that advantage.

If you're looking for areas of AI opportunity, be sure to download our "3 Ways to Discover AI Trends in Any Sector" report by going to emerj.com/t3.

It's the final week of our month-long series on planning your corporate AI strategy. This week we speak with Shane Zabel, Head of AI at Raytheon. Shane talks to us about the phases of building an AI strategy. What are the steps? He discusses the importance of finding an AI pioneer at a company who can build some initial ideas of what AI use-cases could be viable at the company.

If you're in the process of analyzing AI use-cases for your company or clients, we created a guide for this exact topic. Learn more about it at emerj.com/t3.

This week, we speak with Scott Nowson, AI Lead at PWC Middle East, about the critical capabilities nontechnical business people need to understand to be able to advance their career and apply AI in their industry even if their company hasn't started with AI yet.

Scott has an uncanny ability to convey business lessons on AI, and he's one of the few people who got our full Getting Started with AI report before today's formal launch.

The report is finally open, and in it, listeners can find the must-know knowledge that will allow you to take your AI interest and turn it into real career opportunity without learning any code. Listeners can learn more about it at emerj.com/a1

In this episode, we speak with Adam Bonnifield, VP of AI at Airbus, one of the youngest executives at the firm. He talks about how to think about starting a corporate AI strategy, which for him entails beginning with the data assets.

Adam thinks through how to take account of those assets and what kinds of people need to be part of the conversation to unlock the most fruitful AI applications in an established company.

This is a special bonus episode of AI in Industry about advancing your career in the era of AI, specifically for non-technical professionals.

If you don't want to learn to code but still make yourself tremendously valuable in the era of AI, this episode is for you. We put together a report on this topic that will be coming out this month, all about getting started with AI in business for nontechnical professionals. Interested listeners can go to emerj.com/c1 to learn more.

This week, we have Germán Sanchis-Trilles on the podcast. He's one of our technical advisors, well-schooled in natural language processing, and extremely experienced in applying AI in business. In this episode, he reviews some of the key themes from our upcoming report, including critical ideas about how nontechnical professionals can involve themselves in AI while at work.

This week, we speak with Carlos Escapa, Global AI and ML Practice Leader for Amazon Web Services. Carlos speaks with us this week about starting an AI strategy with a more practical approach. Instead of thinking about how to radically reshape a key part of your business with AI or use AI for AI's sake, Carlos talks about instead thinking about where AI fits in with what your business is already doing.

He provides some thought experiments to run through for thinking through this and how to get started with AI.

 

 

Last month, we focused on advancing your career in the age of AI, and this month we have a new theme: building your corporate AI strategy. At Emerj, much of our work in the public and private sector is in building an AI strategy and giving organizations data on where the ROI is in the AI world.

This week, we speak with Ian Wilson, former Head of AI at HSBC and a research advisor for our banking work. He has rare experience applying AI strategically at one of the largest banks in the world, and I think he is just the person to start off this month's theme. Ian talks about beginning to plan your AI strategy.

This is our final episode in our series on advancing your career in the era of AI this month. We had more Linkedin messages on this theme than any we've done before, and it got me excited to think about what we could do with this kind of series in the future.

In this episode, we distill the insights from this month's series with insights from our broad catalog of interviews with AI-minded executives throughout the many years doing this podcast.

We also cover three AI-related career roles that do not involve coding.

 

 

 

We continue our theme on advancing your career in the era of AI. This week, we speak with another AI lead from a gigantic IT services firm: Cognizant. Bret Greenstein is Head of AI at Cognizant, and he talks about what folks who think about AI in terms of strategic direction, project management, etc., have in common.

Brett also discusses how non-technical folks can think about AI in order to take on leadership roles in AI projects, including having a firm understanding of what is possible with AI in their industry.

This week, we speak with Sriram Ramanathan, CTO at Genpact, about what the important non-technical roles exist for making AI work in the enterprise. Everything from project management to quality control and beyond, Sriram lists out areas where nontechnical experts play a critical role in bringing AI to life. 

If you're listening to this podcast, you at least have an interest in leveraging AI in the enterprise. But how do you take that interest and use it to move up in your company and advance your career?

In this week's episode, we speak with Muriël Serrurier Schepper, who worked with AI at Rabobank and Shell managing advanced analytics projects. She now has her own AI consulting firm.

Muriël speaks with us about her experience using her prior skillset to enter the world of AI, take the reigns of exciting AI projects, and open up more career opportunities for herself.

In October, we're focusing on how non-technical employees can still gain an edge in the era of AI even if they've never learned any code. I can't think of a better guest off the bat than our quest this week: Wijay Wijayakumaran, Chief Architect of Machine Learning and AI at IBM Australia.

Wijay emphasizes how much stock he places in the critical importance of subject-matter experts and business leaders with domain knowledge. He also runs through possible career opportunities that non-technical employees can look for in the era of AI and questions they can ask to get more involved with AI projects at their organization.

This is the final episode of our series on the ROI of AI. This week is the monthly analyst call, in which Emerj CEO Daniel Faggella breaks down some of the key themes from this month's interviews. In particular, Daniel puts a large emphasis on connecting the dots between near-term and long-term ROI.

A lot of these themes and core questions are discussed and answered for clients of our AI Product Development Roadmap services. 

This week, we spoke with David Carmona, the GM of Artificial Intelligence at Microsoft, about his approach to AI ROI with the enterprise clients of Microsoft. The biggest takeaway from this episode comes right at the beginning. David talks about how to think about artificial intelligence ROI in the long-term and the near-term.

That is to say, how are we going to see a relatively near-term return with AI that might be able to improve our condition while keeping in mind the longer-term disruption in our industry?

It's clear that there's a revolution in how artificial intelligence is done with neural networks as opposed to the old school systems of the '80s and the '90s. It's clear that hardware is beginning to evolve, and it's also quite clear that the way that we power these hardware systems is going to have to change.

GPUs and AI hardware are tremendously power-intensive, and this week we speak with Robert Gendron of Vicor Corporation, a company focused on powering AI systems. Vicor is in partnership with Kisaco Research, which is putting on the 2019 AI Hardware Summit September 17 and 18 in Mountain View, California.

Robert speaks about why the way that they are powered needs to be different than traditional manufacturing equipment. He also discusses how the powering of these systems need to work if businesses want to reduce energy costs and be as efficient as they can when it comes to AI.

This week, we have a bonus episode. 

We spoke with Jonathan Ross, CEO and Founder of Groq, an AI hardware company, about software-defined computing. Groq is in partnership with the AI Hardware Summit happening in Mountain View, California on September 17 and 18. 

Software-defined computing is a way of thinking about how computing can be optimized for machine learning functions. Ross talks about some of the pros and cons of GPUs and where software-defined computing might make its way into future machine learning applications.

This week, we speak with Dr. Charles Martin of Calculation Consulting. He's a bit of a mentor of mine when it comes to AI knowledge. Charles speaks to us about the pitfalls in getting to ROI, particularly the cultural elements within enterprises that make it so hard to get a return from AI projects.

Charles and I tend to go off in a variety of directions when we talk—he's an animated guy—so be prepared for that. But I think this is an awfully fun episode of the podcast.

For more on the fundamentals of getting started with AI in business, learn more about our newest report: Getting Started with AI: Proven Best Practices of Adoption.

We have a bonus episode this week. We spoke to Moe Tanabian, General Manager of Intelligent Devices at Microsoft, who is speaking at the AI Hardware Summit in Mountain View, California on September 17 and 18.

Tanabian discusses how to think about and reframe business problems to make them more accessible for AI, as well as AI at the edge, which involves doing AI processing on individual devices rather than in the cloud.

The edge could open up new potential for business problems to be solved with AI. Tanabian also provides representative use cases of intelligent devices.

This month, we focus on the ROI of AI, and our guest this week is Sankar Narayanan, Chief Practice Officer at Fractal Analytics, a global AI & Analytics firm headquartered in New York City.

In this episode, Narayanan discusses how to measure the ROI of AI in ways that aren't just financial return. In addition, he provides examples from his hands-on experience implementing AI to provide business leaders with ways of thinking about success when it comes to AI projects.

For more on measuring the ROI of AI, learn about our newest report Getting Started With AI: Proven Best Practices of AI Adoption.

This is the final episode in the month-long series on getting started with AI. In this episode, Emerj CEO Daniel Faggella breaks down the key insights from all four of this month's interviews, distilling them into core best-practices for getting started with artificial intelligence in business. In addition, Daniel discusses insights from our newest report:

Getting Started with AI: Proven Best-Practices for AI Adoption

This week we interview Jan Kautz, Vice President of Learning and Perception Research at NVIDIA. Kautz talks about what people underestimate when they start an AI initiative. In addition, he emphasizes the critical value of data storage.

Kautz dives into the importance of getting started with an AI project when you already have a barometer of success. Essentially, he talks about why it's important to select a first AI project in an area where you already have a way of measuring success.

Learn more about AI adoption in our full report, Getting Started With AI: Proven Best Practices for AI Adoption.

This week, we speak with Jan Neumann, Senior Director of Applied AI Research at Comcast. Comcast is an enormous company; it has lots of data, lots of application areas for AI, and a lot of opportunity for confusion about AI. As such, Neumann speaks with us about scaling AI expertise in the enterprise.

Neumann talks about a very strong distinction between software and AI and how to think through problems to determine whether or not it's a software problem or an AI problem.

He also talks about scaling the problem-solving abilities of business experts in the organization. Lastly, Neumann talks about his ideas for how to determine a first AI initiative.

This week we speak with David Carmona, General Manager of AI at Microsoft. Carmona discusses how redefining a business process is a very different kind of AI adoption project than working on something that is horizontal.

He discusses how to attack both of these scenarios, which to handle first, and why. 

In addition, Carmona talks about proprietary data and things that are close to your own IP. How do you take advantage of the real strategic data value within your own organization? How should you be thinking about that differently? Carmona poses three different questions to determine where those valuable opportunities are for you.

It's the first episode of the new style of AI in Industry, in which we spend a month at a time on a specific theme. This month is AI adoption.

This week we speak with Vlad Sejnoha at Glasswing Ventures, an AI-focused VC firm. Sejnoha spent many years as the CTO at Nuance Communications. He talks to us about the table stakes AI insights the C-suite have to know and the dangers of relying entirely on consulting firms and vendor companies for these insights.

In addition, Sejnoha discusses the need for a "BS-o-meter" for when someone is making a claim about AI to determine if it's real or hype.

Lastly, Sejnoha discusses how he would go about choosing a first AI project.

This episode of the AI in industry podcast is all about where the rubber meets the road for AI in Insurance. We interview Jerry Overton, Head of AI and a Fellow at DXC Technology. He speaks to us about his experience implementing AI in insurance, about where there's real traction with AI in insurance, and where there's only hype. In particular, Overton discusses how anomaly detection technology is a natural fit for AI in the insurance sector.

This is the last episode of its kind on AI in Industry. Starting next Tuesday, we'll be kicking off a new format for the show. Each month, we'll focus on a specific theme, and in August, we're focusing on AI adoption in the enterprise. We hope you'll join us.

 

When we polled our audience about what they were interested in, the most selected response was "business intelligence." As a follow-up, we asked them what business intelligence meant to them, and their responses boiled down to anything about understanding the data businesses are already collecting.

That kind of broad definition gets to the heart of the confusion surrounding the differences between business intelligence and artificial intelligence. The line is starting to get blurry. 

Our guest this week is Elif Tutuk, Senior Director at Qlik. Tutuk talks about how business intelligence is evolving and how we might define it now that a lot of BI is becoming AI. Tutuk discusses where AI is making its way into business intelligence and what that might enable for businesses.

Read our comprehensive definition of machine learning for business leaders here: https://bit.ly/2Ya2NxK