Super Data Science: ML & AI Podcast with Jon Krohn

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercializa

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Every guest on Super Data Science: ML & AI Podcast with Jon Krohn

244 guests, ranked by how many people never want them back.

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Piotr Grudzień
743: How to Integrate Generative A.I. Into Your Business, with Piotr Grudzień · Dec 2023

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Praveen Murugesan
967: AI for the Physical World, with Samsara's Praveen Murugesan · Feb 2026

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Traci Walker Griffith
983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith · Apr 2026

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Priyanka Vergadia
1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia) · Aug 2026

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Rahul Auradkar
958: Without Trusted Context, Agents are Stupid (featuring Salesforce’s Rahul Auradkar) · Jan 2026

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Raju Malhotra
984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra · Apr 2026

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Rasmus Rothe
751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe · Jan 2024

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Rehgan Avon
698: How Firms Can Actually Adopt A.I., with Rehgan Avon · Jul 2023

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Richard Hopkins
016: Data-Driven Operations, Consulting Approaches, and Mentoring with Richard Hopkins · Dec 2016

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Richmond Alake
985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake · 3 episodes

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Ritchie Vink
827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink · Oct 2024

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Robert Usazuwa Ness
909: Causal AI, with Dr. Robert Usazuwa Ness · Jul 2025

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Rohan Kodialam
938: Frontier AI Agents for Data Science, with Sphinx’s Rohan Kodialam · Nov 2025

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Rohit Choudhary
979: Agentic Data Management and the Future of Enterprise AI, with Rohit Choudhary · Mar 2026

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Ruben Kogel
001: Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel · Sep 2016

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Ruth Yakubu
686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu · Jun 2023

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Sadie St. Lawrence
955: Nested Learning, Spatial Intelligence and the AI Trends of 2026, with Sadie St. Lawrence · 2 episodes

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Sama Bali
883: Blackwell GPUs Are Now Available at Your Desk, with Sama Bali and Logan Lawler · Apr 2025

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Serg Masís
539: Interpretable Machine Learning — with Serg Masís · Jan 2022

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Shaun Johnson
895: The Future of Enterprise AI: Investor Shaun Johnson Reveals What Actually Works · Jun 2025

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Sheamus McGovern
933: Future-Proofing Your Career in the AI Era, feat. Sheamus McGovern · Oct 2025

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Shingai Manjengwa
809: Agentic AI, with Shingai Manjengwa · Aug 2024

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Shirish Gupta
877: The Neural Processing Units Bringing AI to PCs, with Shirish Gupta · Apr 2025

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Simon Kuestenmacher
796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher · Jun 2024

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Sinan Ozdemir
959: Building Agents 101: Design Patterns, Evals and Optimization (with Sinan Ozdemir) · 4 episodes

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Sol Rashidi
781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi · May 2024

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Steve Mock
1009: How AI Is Quietly Saving Lives, with Steve Mock · Jul 2026

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Thijs Nieuwdorp

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Thomas Scialom
713: Llama 2, Toolformer and BLOOM: Open-Source LLMs with Meta's Dr. Thomas Scialom · Sep 2023

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Tina Huang
563: How to Rock at Data Science — with Tina Huang · Apr 2022

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Trevor Manz
991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz · May 2026

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Tyler Carlson
956: From Agent Demo to Enterprise Product (with Ease!) feat. Salesforce’s Tyler Carlson · Jan 2026

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Tyler Cox
1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah · 2 episodes

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Ulf Morys
008: Data Science in Computer Games, Learning to Learn and a 40M Euro Case Study with Ulf Morys · Oct 2016

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Vaibhav Gupta
859: BAML: The Programming Language for AI, with Vaibhav Gupta · Feb 2025

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Varun Godbole
869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole · Mar 2025

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Vitaly Dolgov
SDS Special : Giving Up Coffee, IQ vs EQ and Asking the Right Questions with Vitaly Dolgov · Nov 2016

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Wah Loon Keng
551: Deep Reinforcement Learning — with Wah Loon Keng · Feb 2022

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Wilson Pok
003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok · Sep 2016

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Xinran Liu
006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu · Oct 2016

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Recent episodes

1042 episodes from the feed, newest first.

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1036: Is AI Holding Kids Back from Learning?
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1034: In Case You Missed It in September 2026
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1033: Workslop: The Hidden Cost of AI-Generated Work, with Prof. Jeff Hancock and Dr. Kate Niederhoffer
with Jeff Hancock

Oct 2026
1032: Agents Need 10x More Data Than Humans, with Salesforce’s CDO Michael Andrew
with Michael Andrew

Oct 2026
1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah
with Tyler Cox

Sep 2026
1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak
with Gaurav Pathak

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1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie Malone
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1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani Kahawala
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1026: OpenAI’s GPT-6 Astra
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1025: Word Gravity: How Transformers Bend Space, with Dr. Luis Serrano
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1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI Agents
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1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan Handy
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1020: How to Choose Model Size and Effort Level: The Two Critical Dials
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1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia)
with Priyanka Vergadia

Aug 2026
1018: Alibaba's Qwen3.8-Max: Open-Weight Model Surpasses Most American Frontier Labs
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1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete Johnson
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