Data Science Leaders

By Domino Data Lab

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Subscribers: 10
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Episodes: 72

Description

Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Dr. Kjell Carlsson, for Season 2 as we interview pioneering data science leaders and industry watchers to unearth the secrets to driving transformative business outcomes—and avoiding a myriad of pitfalls—with the latest ML & AI technologies. Our conversations are full of real stories, breakthrough strategies, and unique insights—to help you build your own model for enterprise data science success.

Episode Date
Unlocking the Disruptive Potential of Generative AI: A VC Perspective
Apr 10, 2024
Overcoming the Data Challenges of AI-driven Drug Discovery
Mar 27, 2024
AI Will Plan Your Next Vacation: GenAI at Tripadvisor
Mar 13, 2024
From the Archive: A Hybrid Approach to Accelerating the Model Lifecycle
Feb 28, 2024
Unlocking AI in the Public Sector
Feb 19, 2024
Disrupting Drug Discovery and Development With AI
Feb 14, 2024
Mastering the Rare Art of ML Deployment
Jan 31, 2024
Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran
Jan 20, 2024
More Human Than Human? GenAI Customer Service at Bolt
Jan 03, 2024
AI in 2024: Predictions on the Future of the AI Revolution
Dec 20, 2023
The State and Future of Generative AI: Reflections on the Anniversary of ChatGPT with Anaconda CEO Peter Wang
Dec 06, 2023
CDOs: Changing the Operating Model for Data & AI Transformation
Nov 22, 2023
Transforming Education with Generative AI and Active Learning
Nov 08, 2023
“Lessons from the First GenAI Killer App"
Oct 25, 2023
Honeywell: Delivering on the Power of Outlier Detection
Oct 11, 2023
Making Better Sustainability Decisions with AI
Sep 27, 2023
Celebrity Guest Gregory Zuckerman: Trusting AI to Make the Decisions
Sep 13, 2023
Solving the AI Talent Gap: Upskilling at Scale at Halliburton
Aug 30, 2023
The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute
Aug 16, 2023
Get the Most Out of Generative AI
Aug 02, 2023
Celebrity Guest Reid Blackman: Who’s Responsible for Responsible AI?
Jul 19, 2023
Output to Outcomes: AI Product Management at Verizon
Jul 05, 2023
Celebrity Guest Steven Levy: AI, a mirror to human intelligence
Jun 21, 2023
Season 2: Host to Host
Jun 07, 2023
What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmar
May 31, 2022
Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligenc
Apr 12, 2022
Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group)
Apr 05, 2022
A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America)
Mar 29, 2022
Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML,
Mar 22, 2022
Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual)
Mar 15, 2022
How to Operationalize, Scale, and Measure AI in Life Sciences (Sidd Bhattacharya, Director of Healthcare Analytics & AI, PwC)
Mar 08, 2022
Getting to Ground Truth with Strategies from ML in Electronics Manufacturing (Alon Malki, Senior Director of Data Science, NI)
Mar 01, 2022
Elevating Your Team as Strategic Business Partners (Indy Mondal, Senior Director of Data Science, AI & Product Insights, DocuSign)
Feb 22, 2022
A Journey Through the Data Science & Analytics Value Chain (Nancy Hersh, Chief Data Officer, Arcadia)
Feb 15, 2022
Decoding Human Behavior and Well-Being through Data Science (Takuya Kitagawa, Chief Data Officer & Managing Executive Officer, Rakuten Group
Feb 08, 2022
Motivating Teams and Combating Bias in Healthcare Data Science (Vikram Bandugula, Senior Director of Data Science, Anthem)
Feb 01, 2022
Data in the DNA: Breaking Down the Autonomous Enterprise (Janet George, Enterprise AI Leader & Author)
Jan 25, 2022
Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC)
Jan 18, 2022
Supply Chain Solutions & the Role of the ML Engineer (Karin Chu, VP Data Science & Digital Analytics, Peapod Digital Labs)
Jan 11, 2022
Legal Analytics: Winning Business, Winning Cases, and Winning Over Your General Counsel (Peter Geovanes, Head of Data Strategy, AI & Analyti
Jan 04, 2022
Empowering Big Teams to Take on Even Bigger ML Challenges (Jan Neumann, Executive Director, Machine Learning, Comcast)
Dec 14, 2021
Change Management: Winning Over AI Skeptics in Banking & Beyond (Chun Schiros, SVP, Head of Enterprise Data Science Group, Regions Bank)
Dec 07, 2021
To Patent or Not to Patent? How to Weigh the Options for Your Team (Kli Pappas, Associate Director of Global Analytics, Colgate-Palmolive)
Nov 30, 2021
How a Centralized Data Science “Nerve Center” Can Power Global Impact (Tim Suhling, VP Global Business Intelligence, Ingram Micro)
Nov 16, 2021
Scaling Data Science Value with Cross-Functional Teams (Jayesh Govindarajan, SVP Data Science & Engineering, Salesforce)
Nov 09, 2021
Modernizing Healthcare Through Data Science and Digital Transformation (Kaushik Raha, VP Data Science & Health Content Operations, Elsevier)
Nov 02, 2021
How Data Science Teams Are Going Deeper with Proof of Value (Nimit Jain, Head of Data Science, Novartis)
Oct 26, 2021
Why It Pays to Stand Out From the Crowd in Data Science (Bob Bress, Head of Data Science, FreeWheel)
Oct 19, 2021
Tracking Business Value with Data Science Portfolio Management (Katya Hall, Director of Enterprise Analytics, McKesson)
Oct 12, 2021
How to Launch a Data Science Team Built for Scale (Mike Foley, Senior Director of Data Science, Hitachi Vantara)
Oct 05, 2021
Exploring the Future of Data: Regulations & Managing Analytics Teams (John Thompson, Global Head of Advanced Analytics & AI, CSL Behring)
Sep 28, 2021
Data Challenges and the Promising Role of Product Analytics in Healthcare
Sep 21, 2021
People Analytics: Data Science, Ethics, and Opportunity in HR (Adam McElhinney, Chief Data Science Officer, VP of Data Insights, Paylocity)
Sep 14, 2021
Lessons from Building a 2,700-Person Analytics Team (Dave Frankenfield, VP Enterprise Data & Analytics, Optum)
Sep 07, 2021
Oncology Analytics & Delivering Insights from Messy Data (Susan Hoang, VP Oncology Analytics, McKesson)
Aug 24, 2021
How Computer Science & Statistics Fundamentals Can Advance Data Science in 2021 (Chris Volinsky, AVP Data Science & AI Research, AT&T)
Aug 17, 2021
Getting Started with Deep Learning in the Enterprise (Eitan Anzenberg, Chief Data Scientist, Bill.com)
Aug 10, 2021
Communication in Data Science: Know the Data & Know the Business (Gaia Bellone, SVP - Head of Data Science at KeyBank)
Aug 03, 2021
The Right and Wrong Place for the Citizen Data Scientist (Romain Ramora, Head of Data Science & Innovation - Supply Chain at Cisco)
Jul 27, 2021
What Happens When You Bring Data Science and Data Engineering Under One Roof (Mark Teflian, VP, Data Science & Data Engineering, Charter Com
Jul 20, 2021
How to Answer the #1 Question in Enterprise Data Science: “So What?” (Khatereh Khodavirdi, Global Head of Analytics & Data Science - Global
Jul 13, 2021
The Past, Present, and Fascinating Future of Data Science (Mike Tamir, Chief ML Scientist and Head of Machine Learning/AI, SIG)
Jul 06, 2021
Industry 4.0: Data Science in Manufacturing (Paul Turner, VP Industry 4.0 Applications & Analytics, Stanley Black & Decker)
Jun 29, 2021
The 3 Biggest Jobs of Any Chief Data Officer (Heidi Lanford, Chief Data Officer, Fitch Group)
Jun 22, 2021
Navigating Data Constraints in the Highly-Regulated Healthcare Industry (Derrick Higgins, Head of Enterprise Data Science & AI, Blue Cross a
Jun 15, 2021
Bioinformatics and the Unprecedented COVID-19 Vaccine Race (Fiona Hyland, Director of R&D, Informatics, Thermo Fisher Scientific)
Jun 08, 2021
Bridging the Gap Between Data Science and Business Outcomes
Jun 01, 2021
Challenges and Opportunities in Operationalizing Data Science
May 25, 2021
How to Be a Truth-Seeking, Truth-Telling Partner in Data Science
May 18, 2021
How to Use AI Reliability to Identify and Predict Model Decay
May 11, 2021
An Introduction to Data Science Leaders, a Podcast for Daring Data Science Teams
Apr 20, 2021
More than Models: Building a Culture of Data Literacy and Data Ethics
Apr 20, 2021