Ben 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.