Jon Krohn
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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...
Based on 6 episodes we listened to · June 2026
Super Data Science makes modern AI easier to follow by tying research context to models, GPUs, tools, and technical judgment.
Super Data Science: ML & AI Podcast with Jon Krohn belongs on PlayNext's Technology beat: machine learning, AI infrastructure, and the people explaining how the field works in practice. The show uses a straightforward long form interview format.
You like your AI hype cross-examined by people who have actually built the stack.
Press play if you want
Short reviews from the PlayNext desk, based on the episodes we processed.
A practical warning about AI that leans into mediation and civic design.
Jon Krohn and Alex Sandy Pentland treat AI less as a product pitch than as a social systems problem, and that choice gives the discussion real shape. They focus on polarization, information environments, and the way extreme voices can bend the apparent center of opinion.
Enterprise AI value is framed through ROI, governance, and production discipline.
Dell Technologies' Jon Rose comes across as a grounded enterprise AI example. The discussion starts with $10 billion in revenue growth last year while costs went down, then moves into knowledge layers, MCP, agent-to-agent protocols, and the broader push to make AI spending show…
Edge AI is treated here as a practical tool for physical operations, not just a model decision.
Praveen Murugesan and Jon Krohn look at where AI actually has to hold up under pressure: places with shaky connectivity, messy conditions, and real work that cannot wait for a clean demo.
A grounded case for making AI agents reliable in everyday work before calling them useful.
The episode treats a useful AI agent as something people can trust in ordinary work, not just admire in a demo. Antje Barth, joining from Amazon AGI Labs in San Francisco, and host John Krohn keep the discussion anchored in expense reports, web research, meeting summaries, and…
A practical look at how open models could help enterprises work with private data.
This episode stays focused on a practical question: what it takes for open models to work inside companies sitting on large stores of private data.
A practical guide to agent design, evaluation, and deployment for builders.
Jon Krohn presents Sinan Ozdemir's Building Agentic AI as a practical 101 guide to designing, fine-tuning, optimizing, and deploying agentic systems.
A dense, practical interview on AI systems performance engineering and how to turn it into a usable optimization strategy.
Chris Fregly and Jon Krohn keep the focus on AI systems performance engineering, not on model hype. The episode centers on what makes systems fast, measurable, and worth the cost, with Fregly drawing on experience from AWS, Databricks, and Netflix.
A brisk AI infrastructure story that connects GPU scale, code rewrites, and open-source tooling.
Will Falcon's conversation gives the episode a clear throughline: a practical look at how one company is trying to make model training and deployment more cost effective.
Media money, platform power, AI pressure.
Tech hype, billionaire power, tested hard.
Host Jon Krohn explores whether the current massive investment in AI constitutes a bubble, arguing through historical examples that such financial frenzies, while risky for investors, often leave behind cheap infrastructure that fuels long-term innovation and societal benefit.
Jon Krohn opens Super Data Science: ML & AI Podcast episode 972 as an “In Case You Missed It in February 2026” roundup built from past conversations.
Jon Krohn interviews Will Falcon, CEO of Lightning AI, about the company's merger with Voltage Park to create a full-stack AI neocloud with $500M+ ARR and 35,000 GPUs.
Host Jon Krohn interviews Professor Kyung Young Cho, a leading AI researcher who co-authored the seminal attention mechanism paper.
Lin Qiao, CEO of Fireworks AI, discusses how over 90% of the world's data is locked in private enterprises and never seen by foundation models.
Host Jon Krohn tackles the widespread anxiety about AI automating away coding and white-collar jobs.
This episode discusses NVIDIA's Nemotron 3 Super model, highlighting its mixture of experts architecture and hybrid design combining transformers with Mamba layers for efficiency.
Jon Krohn analyzes the viral MoldBook phenomenon, a social network exclusively for AI agents powered by the OpenClaw framework.
Jon Krohn’s January 2026 roundup on Super Data Science Podcast revisits three January guests: Ethan Mollick, Sadie St.
Jon Krohn interviews Stanford and MIT professor Alex Sandy Pentland on episode 949 of the Super Data Science Podcast, centered on Pentland’s book Shared Wisdom and its argument that AI fails when it ignores society.
Self-repairing data pipelines are the promise.
A $6,000 Starbucks habit gets the door open.
Episode 960 of Super Data Science: ML & AI Podcast with Jon Krohn recaps December conversations about enterprise AI ROI, comedy writing with Gemini, burnout recovery, hiring at Netflix, system design, and AI adoption.
Jon Krohn interviews Salesforce SVP Tyler Carlson about moving AI agents from demo to enterprise product, with a focus on AppExchange, AgentForce 360, and the infrastructure behind both.
Why do smart models still blow it?
Penelope Lafoye says she moved out of finance in New York because she was working too much and felt a mismatch with where she wanted her career to go in five years.
Jon Krohn opens on a truck driver asleep at the wheel and the challenge of no cell signal for miles.
Jon Crone opens with Dell Technologies' reported result: Jon Rose, the company's Global CTO and Chief AI Officer, is back to explain how AI helped revenue grow by $10 billion last year while costs went down, a shift the company says it had not seen in its 41-year history.
Jon Krohn opens with a broad question.
Host Jon Krohn interviews Professor Tom Griffiths about his new book 'The Laws of Thought', exploring mathematical models of human and artificial intelligence.
Super Data Science episode 948 is an "In Case You Missed It in November 2025" roundup hosted by Jon Krohn, with clips from episode 939, episode 941, episode 937, and Maya Ackerman.
Wharton professor Ethan Mollick discusses why traditional enterprise AI strategies are becoming obsolete, arguing that successful adoption requires internal experimentation rather than relying on external consultants.
Jon Krohn and Sinan Ozdemir center episode 959 of the Super Data Science Podcast on Building Agentic AI, Sinan’s 10th book and the first title in Jon Krohn’s Pearson AI Signature Series.
Jon Krohn and Sadie St.
Jon Krohn speaks with Josh Clemm, Vice President of Engineering at Dropbox, about Dash, an AI-powered search layer that aims to unify work content across Slack, Google Docs, Jira, browser tabs, and Dropbox files.
Jon Krohn speaks with Antje Barth of Amazon AGI Labs about NovaAct, a service that went from research preview to GA at AWS re:Invent and starts free in a browser-based playground.
70,000 years ago frames the leap.
Host Jon Krohn interviews Principal Tracy Walker-Griffith about using AI to transform a struggling Boston school into the top-ranked one.
Host Jon Krohn highlights a clip from an interview with Zach Kass discussing how AI can personalize education in schools.
Interview with Matt Glickman about his startup Genesis Computing automating data engineering with AI agents.
Host Jon Krohn discusses how physicists used OpenAI's models as a collaborator to solve a complex problem in particle physics involving gluons.
Jon Krohn interviews Rohit Chowdhury about the explosive growth of enterprise data and how Acceldata helps organizations manage and optimize it for AI.
Interview with Dr.
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Host Jon Krohn interviews AI expert Sinan Ozdemir about the flaws in AI benchmarks and how to effectively evaluate LLMs.
Lilith Batlia discusses how AI is revolutionizing the legal industry by automating discovery processes and addressing evaluation metrics like illusion.
Host Jon Krohn interviews Diane Hare about enabling AI solutions in enterprises and overcoming people-related barriers to AI transformation.