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The Data Exchange with Ben Lorica

The Data Exchange with Ben Lorica

Hosted by Ben Lorica

TechnologyBusinessNewsInterviews guests

Episodes

351

Latest episode

Jun 2026

Language

EN-US

About the show

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, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].

Listen to episodes

60 recent
June 13, 202641 min

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 strategy.Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes and transcript, can be found on The Data Exchange web site.

June 11, 202645 min

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 difference between workflows and agents, why “harness engineering” is becoming a useful frame for application builders, and why long-running agent workloads require orchestration, durable execution, retries, state management, and human-in-the-loop semantics.Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes and transcript, can be found on The Data Exchange web site.

June 4, 202643 min

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 Arklex AI. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes and transcript, can be found on The Data Exchange web site.

May 28, 202652 min

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 learning models remain essential despite the rise of foundation models and LLMs. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes and transcript, can be found on The Data Exchange web site.

May 21, 202643 min

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 Predictive Robustness. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes and transcript, can be found on The Data Exchange web site.

May 14, 202643 min

As Code Generation Speeds Up, Who Tests the Output?

In this episode, Ben Lorica talks with Evan Marshall, CTO of Ito AI, about why software testing and QA are becoming the critical bottleneck in the age of coding agents. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes and transcript, can be found on The Data Exchange web site.

May 7, 202656 min

The Gap Between AI Hype and Enterprise Reality

In this episode, Ben Lorica talks with Richard Garris and Barry Dauber from Databricks, about what enterprises are actually struggling with as they move AI from demo to deployment. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes and transcript, can be found on The Data Exchange web site.

April 30, 202656 min

Reading the Tea Leaves: What the World's Top AI Researchers Are Really Working On

Ben Lorica talks with Nick Vasiloglou, VP of Research at Relational AI, about Nick’s deep dive into NeurIPS 2025 and what people in industry should actually pay attention to. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.

April 23, 202631 min

From Web Video to Real-World Robots

Ben Lorica speaks with Changan Chen, co-founder and Chief Research Officer at Rhoda AI, about what it takes to build foundation models for robots that can operate in the real world. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.

April 18, 202627 min

Why Your AI Committee Might Be Your Biggest AI Problem

In this episode, Ben Lorica and Evangelos Simoudis discuss how enterprises are structuring their internal AI efforts, highlighting the friction between top-down AI governance committees and bottom-up “shadow IT” innovation.Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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