Podcast
The Data Exchange with Ben Lorica
Hosted by Ben Lorica · EN
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/].
15episodes
Episodes
Newest firstAll episodes
The Data Stack Wasn't Built for AI — Here's What Comes Next
Jun 1800:40:11Tap to summarizeBen Lorica talks with Chang She, co-founder and CEO of LanceDB, about the limitations of traditional analytical data tools like Pandas and Parquet when applied to AI workloads. They discuss the rise of the “multimodal lakehouse,” the unique data storage and retrieval challenges introduced by AI agents, and how LanceDB provides both lightweight embedded memory and massive-scale infrastructure. 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.
Transcribe →The SaaSpocalypse Is Coming — But Don't Count Out the Incumbents
Jun 1300:41:21Tap to summarizeBen 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.
Transcribe →AI Agents Are Implemented, Not Adopted
Jun 1100:45:55Tap to summarizeBen 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.
Transcribe →Why Your AI Agent Isn't Ready to Ship (And How to Know When It Is)
Jun 400:43:29Tap to summarizeIn 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.
Transcribe →From Vibe Coding to Autonomous Agents
Jun 12, 2025Tap to summarizeJackie Brosamer and Brad Axen from Block discuss codename goose (Goose), their open-source AI agent designed to automate complex engineering and knowledge work.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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