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 Bloomberg Terminal for AI Compute
4d ago00:45:25Tap to summarizeSteve 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/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 →Can China Do to Robotaxis What It Did to Solar?
1w ago00:54:58Tap to summarizeBen 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.
Transcribe →Why Video Is AI's Next Great Frontier
2w ago00:39:46Tap to summarizeYoon 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.
Transcribe →Your AI Safety Tests Are Lying to You
3w ago00:26:26Tap to summarizeAndrew 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.
Transcribe →Enterprise AI Is Moving Slower Than You Think
4w ago00:36:35Tap to summarizeBen 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 important for regulated industries.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 Observability May Be AI’s Next Frontier
Jul 1600:50:45Tap to summarizeAmeet 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 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 Is Producing More Code, but Is It Producing More Value?
Jul 1100:56:22Tap to summarizeBen 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 to AI coding tools — more code, but far less shipped software and usage growth — before turning to “neoconsulting,” the outcomes-based services model reshaping Accenture, Palantir, and the big Indian IT firms.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 →Stop Renting Generic Intelligence for Your Business
Jul 900:53:50Tap to summarizeManos Koukoumidis, 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 should stop renting intelligence from frontier labs and start owning, customizing, and compounding it.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 Data Layer Enterprise AI Has Been Missing
Jul 200:50:56Tap to summarizeAndrew 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 week that serves as a context engine for enterprise AI agents. He explains why fully automatic knowledge graph construction is the only viable path at scale, why entity resolution remains a brutal engineering problem, and how graph theory tricks make million-node queries answerable in under a second.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 Hidden Failure Modes of AI Agents
Jun 2500:51:47Tap to summarizeBen 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, monitoring agents in production, domain-specific small language models, causal inference for operational data, and why the “last 1%” of accuracy and reliability is often the hardest part of deploying AI systems. 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.
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