
Advertise on podcast: The Data Exchange with Ben Lorica
Rating
4.5from
This podcast has
373 episodes
Language
EnglishPublisher
Ben LoricaExplicit
No
Date created
2019/11/12
Latest episode
2026/10/22
Average duration
45 min.
Release period
6 days
Description
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/].
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Podcast episodes
Check latest episodes from The Data Exchange with Ben Lorica podcast
Let Domain Experts Build the Agents
2026/10/22
Akshay Sharma, ML Engineer at Lyft, and Nick Ung, Staff Applied Scientist at Lyft, explain how their team is building a platform that lets domain experts create customer-facing AI agents while engineers provide the underlying tools, guardrails, and evaluation infrastructure.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
AI Is Coming for Tasks Before It Comes for Jobs
2026/10/15
MIT FutureTech director Neil Thompson joins Ben Lorica to discuss how AI is reshaping work, the economy, and the future of automation. Drawing on recent research, Thompson explains why AI’s impact on most occupations may unfold gradually rather than arrive as a sudden shock, why adoption continues to lag behind technical capabilities, and why the fixed costs of implementation favor larger firms.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
Why Build Your Own AI Model When Frontier Models Already Exist?
2026/10/08
In this episode, we talk with Joel Hron, CTO of Thomson Reuters, about the company’s decision to develop its own frontier AI model, Thomson, using open-weight models and decades of proprietary content and expertise.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
Why AI Makes Games Worse—and How to Make Them Better
2026/10/01
Piero Molino, CEO and co-founder of Studio Atelico, joins Ben Lorica to discuss what happens when AI becomes a core game mechanic rather than a cost-cutting tool.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
What Comes After Transformers?
2026/09/24
Ben Lorica speaks with Zuzanna Stamirowska, CEO of Pathway, about the company’s push beyond transformers toward models that reason in latent space, learn from experience, and maintain state over long time horizons.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
Inside OpenAI's First Chip
2026/09/17
Richard Ho, VP of Hardware at OpenAI, explains how the team built Jalapeño, its first custom AI accelerator, and why controlling more of the hardware stack could lower inference costs and improve performance.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
Navier-Stokes and AI generated work: If You Can't Explain It, Did You Really Do It?
2026/09/12
Ben Lorica is joined by Evangelos Simoudis for a wide-ranging discussion on how AI is reshaping knowledge work: from the Navier-Stokes controversy and the need to protect intellectual property to whether workers should still be expected to understand and defend AI-generated work.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
The Missing Data for Spatial Intelligence
2026/09/10
Ben Lorica talks with David Fattal, founder and CTO of Leia Inc., about why stereo data could become an important ingredient for AI systems that need to understand the physical world.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
Your AI Agent Is Costing You More Than You Think
2026/09/03
Ben Lorica talks with Abi Aryan, AI engineer, author of LLMOps: Managing Large Language Models in Production, about how deploying generative AI is turning into a distributed systems problem.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
Reasoning Doesn't Start With Language
2026/08/27
Ben Lorica speaks with Andrew Dai, co-founder and CEO of Elorian AI, about why today’s frontier models still struggle with complex visual reasoning and why simply scaling language-centric architectures may not solve the problem.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
An Agent Is Just an LLM in a For-Loop
2026/08/20
Maarten Grootendorst, a developer relations engineer at Google DeepMind and co-author of Hands-On Large Language Models and An Illustrated Guide to AI Agents, joins Ben Lorica to explain the concepts developers need to understand beneath today’s AI tools.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
The Bloomberg Terminal for AI Compute
2026/08/13
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 despite talk of oversupply.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
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Detailed show notes and transcript, can be found on The Data Exchange web site.
Can China Do to Robotaxis What It Did to Solar?
2026/08/08
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 near is helping sustain enormous investment in AI models and data centers despite unanswered questions about margins and ROI; and whether Chinese robotaxi companies can challenge Waymo globally by following a playbook similar to China’s rise in solar and batteries.
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.
Why Video Is AI's Next Great Frontier
2026/08/06
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, Marengo and Pegasus, embed and describe video content at scale, and how the company’s new agent, Jockey, orchestrates them for tasks like security investigations, sports film review, and documentary editing.
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.
Your AI Safety Tests Are Lying to You
2026/07/30
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.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.
Podcast reviews
Read The Data Exchange with Ben Lorica podcast reviews
Buck Trends 2021/05/29
Indispensable source of information about trends in all things Data
No one monitors the pulse of data trends better than Ben. This pod cast and his other Gradient Flow content are indispensable for those of us in the d...
N Thalanki 2021/03/24
Promising but still portrays giddy ra ra data science basis
Ben has a data science bias that shows up in how he invariably pivots all conversations to it despite his protestations.
I guess his bias is why we m...
abdorima 2020/11/12
Great podcast!!! Keep it up!!!
This podcast is awesome! So many things in the world are evolving everyday and Ben is ON IT talking about technology, science, AI, and so much more. W...
sam_roon 2020/04/19
Great Podcast!
Never a bad episode! Always engaging guests, Ben does an excellent job as a host! Keep up the great work!
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