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Hosted by Ben Lorica · 🇺🇸 US · EN-US · 362 episodes
Established thought leaders with verified media credentials.
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/].
Ben Lorica hosts The Data Exchange with Ben Lorica, a technology show with 362 episodes published.
Steve Hou , Head of Research at Silicon Data , joins Ben Lorica to unpack the data behind the AI compute market: GPU rental indices, forward curves, and token expenditure trends that reveal a market still tightening desp
Ben Lorica talks with Evangelos Simoudis about three forces reshaping AI: why recent “rogue agent” incidents may be more about permissions, identity, and governance than runaway intelligence; how the belief that AGI is n
Yoon Kim , President and Chief Strategy Officer of TwelveLabs , explains why understanding video takes more than bolting a language model onto a stream of frames. He walks through how TwelveLabs’ two foundation models, M
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 Evals . Subscribe to the Gradient Flow Newsletter https://gradientflow.substack.
Ben Lorica speaks with Denise Teng , partner at Gradient Ventures , about the real state of enterprise AI adoption, why security and data privacy still slow deployment, and why open weights may become increasingly import
Ameet Talwalkar , Carnegie Mellon ML professor and Chief Scientist at Datadog , joins Ben Lorica to trace time series foundation models from skepticism to Datadog’s Toto V1 and V2 . Subscribe to the Gradient Flow Newslet
Ben Lorica sits down with Evangelos Simoudis to unpack why open-weights models are closing the gap with frontier labs and pushing enterprises toward “corporate AI sovereignty.” They then apply an attenuation-funnel lens
Manos Koukoumidas , CEO of Oumi , returns to the podcast to make the case that most enterprises are wildly inefficient, using bloated generic AI models for tasks that demand specialized ones. He argues that companies sho
Andrew Moore , CEO of Lovelace , former head of Google Cloud AI, and former dean of Carnegie Mellon’s School of Computer Science, joins the podcast to discuss YottaGraph , a knowledge graph growing by a billion facts a w
Ben Lorica speaks with Helen Gu , CEO of InsightFinder AI and professor at North Carolina State University, about why reliability is becoming a central challenge for enterprise AI. They discuss AI incident response, moni
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
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.subst
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
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.sub
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. Su
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://gradientf
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 📩 http
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 Newslet
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 �
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 Newsl
Arun Kumar
Associate Professor at UC San Diego and Co-founder/CTO of RapidFire AI · Ultim Quest Knowledge
1 appearance on this show
Jason Martin
Director of Adversarial Research · Highpoint Performance Horses
1 appearance on this show
Steve Hou
Silicon Data
1 appearance on this show
Yoon Kim
TwelveLabs
1 appearance on this show
Zhou Yu
Arklex AI
1 appearance on this show
Doris Xin
Disarray
1 appearance on this show
Terrence Lee-St. John
Enli
1 appearance on this show
Evan Marshall
Ito AI
1 appearance on this show
Richard Garris
Databricks
1 appearance on this show
Nick Vasiloglou
Relational AI
1 appearance on this show
Changan Chen
Rhoda AI
1 appearance on this show
Tudor Achim
Harmonic
1 appearance on this show
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The Data Exchange with Ben Lorica is hosted by Ben Lorica. The show is categorised under technology (news) and has published 362 episodes.
The Data Exchange with Ben Lorica has published 362 episodes.
The Data Exchange with Ben Lorica regularly covers technology, news, business. It sits in the technology category, with a news focus.
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