Let's Talk AI
By Let's Talk AI
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Episodes: 68
Description
Let’s Talk AI is the podcast that makes you dive deeper into Artificial Intelligence. We talk with experts about topics, challenges, technologies related to AI with no fear to get into technical details. The goal is to learn from guests that are passionate about AI shares about real world cases, to take your business, career and projects to the next level!
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| Episode | Date |
|---|---|
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#68 - Head of Product at Onehouse, ex-Azure Databricks and Data Engineering with Kyle Weller
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May 08, 2024 |
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#67 - Microsoft, Warehousing, Data Management and AI with James Serra
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May 02, 2024 |
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#66 - O'Reilly Author Learning Git and Technical Writing with Anna Skoulikari
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Apr 24, 2024 |
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#65 - Data observability, Entrepreneurship and Scaling with Kunal Agarwal
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Apr 17, 2024 |
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#64 - LinkedIn's Country Manager Spain & Portugal, Career & Mentoring with Angel Sáenz de Cenzano
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Apr 11, 2024 |
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#63 - Lead Data Scientist, Clarity AI, Sustainability and Finance with Jaime Oliver Huidobro
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Apr 03, 2024 |
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# 62 - CDO at Microsoft & "Data Management at Scale" O'Reilly Author with Piethein Strengholt
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Mar 20, 2024 |
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#61 - MLOps, Leadership, Management & Growth with Raphaël Hoogvliets
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Mar 14, 2024 |
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#60 - The Entreprise Data Catalog, Federated Knowledge Graph and Data Mesh with Ole Olesen-Bagneux
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Mar 07, 2024 |
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#59 - Leadership, Entrepreneurship, Team Building, Career and AI with Oleksandr Honchar
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Feb 28, 2024 |
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#58 - ML, MLOps, Cybersecurity and Career with Apoorva Joshi
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Feb 21, 2024 |
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#57 - Solutions Architect, Data and AI, AWS, Databricks, Ph.D and career with Houssem Chihoub
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Feb 07, 2024 |
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#56 - Lead MLOps Engineer, Ph.D, Career and Growth Mindset with Médéric Hurier
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Feb 01, 2024 |
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#55 - Data/Software engineering, Freelance, Career and Teaching with Christophe Blefari
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Jan 25, 2024 |
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#54 - Entrepreneurship, AI & Data Analytics, Career and Community with Leon Gordon
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Jan 17, 2024 |
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#53 - AI, LLMs, Databricks, Research vs Private, and Hard vs Soft Skills with Anastasiia Prokaieva
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Jan 03, 2024 |
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#52 - Data Engineering Past, Present and Future, and Career with Neelesh Salian
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Dec 20, 2023 |
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#51 - Data Engineering, Open Source and productivity with Simon Späti
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Dec 13, 2023 |
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#50 - Neural Space: Language AI solutions for local languages with Felix Laumann
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Nov 29, 2023 |
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#49 - From Finance to Data, LinkedIn Instructor, DevRel and Community with Megan Lieu
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Nov 23, 2023 |
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#48 - MLOps with MLOps Tech Lead Maria Vechtomova
|
Nov 15, 2023 |
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#47 - Entrepreneurship, DE/DS, Agents, Overall Vision of 20+years in the field with Raphaël Mansuy
|
Nov 09, 2023 |
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#46 - Data Eng./Data Sc., Data Projects, Accountability and Communication with Fabian Werkmeister
|
Nov 01, 2023 |
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#45 - Data Science, Kaggle Master, ChatBots and Fraud Detection with Andrey Lukyanenko
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Oct 25, 2023 |
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#44 - Data Scientist, AI Instructor and Autonomous Shopping with Jamshaid Sohail
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Oct 19, 2023 |
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#43 - Agostino Calamia: Senior Data Scientist at Shopify, ML Engineering, MLOps and Collaboration
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Oct 11, 2023 |
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#42 - Principal Scientist, Elastic Search, Game Dev and Public Speaking with Susan Shu Chang
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Oct 04, 2023 |
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#41 - Data Engineering, DevRel, Content Creation and Career Tips with Mehdi Ouazza
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Sep 27, 2023 |
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#40 - AI-Powered Business Intelligence, Data Science, Agile, Author & Career with Tobias Zwingmann
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Sep 20, 2023 |
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#39 - Machine Learning Engineering, NLP & Psychology with with Tales Marra
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Sep 13, 2023 |
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#38 - Data Engineering, Career, Mentor and Hands-On Learning with Andreas Kretz
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Sep 06, 2023 |
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#37 - Data Strategy, Data Science, CTO, Python & R with Boyan Angelov
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Aug 31, 2023 |
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#36 - Essential Math for AI, Data Science and Data Engineering with Hala Nelson
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Aug 16, 2023 |
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#35 - Semantic Modeling, Ontology and Knowledge Graphs with Panos Alexopoulos
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Aug 09, 2023 |
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#34 - Apache Iceberg, Big Data, Data Architecture and Open-source with Dipankar Mazumdar
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Aug 02, 2023 |
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#33 - Data Observability, Spark and Career with Andy Petrella
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Jul 26, 2023 |
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#32 - MLops, ML Engineer, AI systems and Deep Learning with Paul Iusztin
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Jul 12, 2023 |
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#31 - Deep Learning, Research, NLP, Career and Vector Databases with Nils Reimers
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Jul 05, 2023 |
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#30 - Scaling Machine Learning Models, Spark, Agile, Software Engineering and KPIs with Adi Polak
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Jun 28, 2023 |
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#29 - History, Philosophy, Superintelligence and Challenges of AI with William J. Littlefield II
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Jun 14, 2023 |
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#28 - Portfolio Theory, Data Science and Entrepreneurship with Peter Cotton
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Jun 08, 2023 |
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#27 - Hands-On Learning, Research Papers and Open Source with ML Engineer Francesco Zuppichini
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May 31, 2023 |
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#26 - Bridging the Gap Between Data and Strategy with Dylan Anderson
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May 24, 2023 |
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#25 - Revolutionizing Government Decision-Making: The Power of Data Intelligence with Andrea Barenque
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May 17, 2023 |
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#24 - The Influence of Coding and Math Skills in Analytics with Senior Data Analyst Jess Ramos
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Apr 26, 2023 |
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#23 - From Civil Engineering to Computer Vision: Piotr Skalski's Journey
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Apr 19, 2023 |
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#22 - AI Solutions for Social Problem-Solving with Lucía Tróchez Ardila
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Apr 12, 2023 |
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#21 Freelancing in Tech: Kristen Kehrer's Journey to Personal Branding and Finding Balance
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Mar 29, 2023 |
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#20 - AI Ethics and Governance for Latin America: Insights from Claudia May Del Pozov
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Mar 22, 2023 |
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#19 - Building AI Communities and Personal Branding: Tips from THE Community Evangelist Ravit Jain
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Mar 15, 2023 |
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#18 - Inside the Mind of a top Data Scientist: Insights and Experiences from Serg Masís
|
Mar 09, 2023 |
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#17 - Demystifying MLOps: Insights from one of the best Senior MLOps Engineer Aurimas Griciūnas
|
Mar 01, 2023 |
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#16 - Leading the Way in Tech Policy and Governance: Meet Cristina Martinez Pinto
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Feb 22, 2023 |
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#15 - NLP and AI Technologies with PhD Research Engineer Alexandre Denis
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Feb 15, 2023 |
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#14 - Expert Insights on Mentoring the Next Generation of Business and Data Analysts with Gus Reyes
|
Feb 09, 2023 |
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#13 Building a Data Product with a Technical and Financial Background - Jérémy Ravenel
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Feb 01, 2023 |
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12# - Mentoring, Building Tech communities, career tips and the future of AI - Koo Ping Shung
|
Jan 25, 2023 |
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#11 - Successful AI startup Erudit, Data architecture, Ethic and Legislation for AI - Ricardo Michel Reyes
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Jan 18, 2023 |
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#10 - 25+ years of experience, Choose your clients, Growth mindset, Building a team and great data driven products - Vin Vashishta
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Jan 11, 2023 |
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#9 - Best Selling Author, Data Engineer, Recovering Data Scientist, WHY and Balance - Joe Reis
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Jan 04, 2023 |
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#8 - How to grow a career in Data Science, importance of mastering concepts, Build a network and MLOps Tools - Thom Ives
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Dec 21, 2022 |
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#7 - NLP history, NLP models, use cases and MLOps - Abiola Trésor Djigui
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Dec 14, 2022 |
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#6 - Director at Hypercube Consulting on management and leadership - Adam Sroka
|
Dec 07, 2022 |
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#5 - CEO & Founder at Earley Information Science, Award Winning and Author of The AI Powered Enterprise - Seth Earley
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Nov 23, 2022 |
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#4 - Time series, Airbus and PhD at Oxford on the integration of AI into optimisation techniques - Pablo Sánchez Naharro
|
Nov 16, 2022 |
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#3 - Machine Learning Engineer Gustavo on Time Series, Economics and MLOps
|
Nov 09, 2022 |
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#2 - Looking at AI from a business and IT perspective - David Hernández Merino
|
Nov 02, 2022 |
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#1 - Alan Kashkash - From building an AI startup to participating in the Web Summit
|
Oct 25, 2022 |