The Missing Data for Spatial Intelligence
Ben Lorica talks with David Fattal, founder and CTO of Leia Inc., about why stereo data could become an important ingredient for AI systems...
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The Data Exchange with Ben Lorica
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artif...
Episodes
20 of 366 episodesYour AI Agent Is Costing You More Than You Think
Ben Lorica talks with Abi Aryan, AI engineer, author of LLMOps: Managing Large Language Models in Production, about how deploying generative...
Reasoning Doesn't Start With Language
Ben Lorica speaks with Andrew Dai, co-founder and CEO of Elorian AI, about why today’s frontier models still struggle with complex visual re...
An Agent Is Just an LLM in a For-Loop
Maarten Grootendorst, a developer relations engineer at Google DeepMind and co-author of Hands-On Large Language Models and An Illustrated G...
The Bloomberg Terminal for AI Compute
Steve Hou, Head of Research at Silicon Data, joins Ben Lorica to unpack the data behind the AI compute market: GPU rental indices, forward c...
Can China Do to Robotaxis What It Did to Solar?
Ben Lorica talks with Evangelos Simoudis about three forces reshaping AI: why recent “rogue agent” incidents may be more about permissions,...
Why Video Is AI's Next Great Frontier
Yoon Kim, President and Chief Strategy Officer of TwelveLabs, explains why understanding video takes more than bolting a language model onto...
Your AI Safety Tests Are Lying to You
Andrew Burt, CEO and co-founder of Luminos, joins Ben Lorica to unpack Luminos’s new report, A Practical Guide to Agentic and Gen AI Risk Ev...
Enterprise AI Is Moving Slower Than You Think
Ben Lorica speaks with Denise Teng, partner at Gradient Ventures, about the real state of enterprise AI adoption, why security and data priv...
Why Observability May Be AI’s Next Frontier
Ameet Talwalkar, Carnegie Mellon ML professor and Chief Scientist at Datadog, joins Ben Lorica to trace time series foundation models from s...
AI Is Producing More Code, but Is It Producing More Value?
Ben Lorica sits down with Evangelos Simoudis to unpack why open-weights models are closing the gap with frontier labs and pushing enterprise...
Stop Renting Generic Intelligence for Your Business
Manos Koukoumidis, CEO of Oumi, returns to the podcast to make the case that most enterprises are wildly inefficient, using bloated generic...
The Data Layer Enterprise AI Has Been Missing
Andrew Moore, CEO of Lovelace, former head of Google Cloud AI, and former dean of Carnegie Mellon’s School of Computer Science, joins the po...
The Hidden Failure Modes of AI Agents
Ben Lorica speaks with Helen Gu, CEO of InsightFinder AI and professor at North Carolina State University, about why reliability is becoming...
The Data Stack Wasn't Built for AI — Here's What Comes Next
Ben Lorica talks with Chang She, co-founder and CEO of LanceDB, about the limitations of traditional analytical data tools like Pandas and P...
The SaaSpocalypse Is Coming — But Don't Count Out the Incumbents
Ben Lorica is joined by Evangelos Simoudis for a wide-ranging check-in on how AI is reshaping mobility, enterprise software, and corporate s...
AI Agents Are Implemented, Not Adopted
Ben Lorica speaks with Hamza Tahir, co-founder of Kitaru, about what it takes to move AI agents from demos to production. They discuss the d...
Why Your AI Agent Isn't Ready to Ship (And How to Know When It Is)
In this episode, host Ben Lorica sits down with Zhou Yu, associate professor of computer science at Columbia University and co-founder of Ar...
Why Foundation Models Haven’t Replaced Classical Machine Learning
In this episode, Ben Lorica sits down with Doris Xin and Moustafa Abdelbaky, co-founders of Disarray, to discuss why classical machine learn...
When "Garbage In, Garbage Out" Gets It Wrong
Ben Lorica speaks with Terrence Lee-St. John, founder of Enli and lead author of From Garbage to Gold: A Data Architectural Theory of Predic...