The Data Exchange with Ben Lorica
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/].
Show episodes
Ben Lorica and Evangelos Simoudis discuss AI-bubble signals (runaway revenue multiples, circular financing), why many enterprise pilots stall, and what separates leaders (use-case matrices, cross-functional ownership, hard metrics). They also examine U.S.–China tech competition in robotics and semiconductors, and offer
Luke Wroblewski of Sutter Hill Ventures joins the podcast to discuss the paradigm shift in building AI applications. He explains how the traditional model of “code + database” is being replaced by “URL + model,” where the AI agent itself becomes the application logic. Subscribe to the Gradient Flow Newsletter 📩 http
Heiko Hotz and Sokratis Kartakis of Google Cloud discuss the Agent-to-Agent (A2A) protocol, a new standard for enabling collaboration between AI agents built on different frameworks. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · A
Zhen Lu, CEO of Runpod, joins the podcast to discuss what it means to build an “AI-first” cloud, moving beyond the architectures of the Web 2.0 era. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amaz
Yoni Leitersdorf, CEO of Solid, joins the podcast to demystify why simply pointing an LLM at a database for text-to-SQL doesn’t work. He explains the critical need for a semantic layer to provide business context, turning raw data into a “Rosetta Stone” that AI can actually understand. Subscribe to the Gradient Flow N
Ben Lorica and Evangelos Simoudis discuss some takeaways for AI practitioners from the recent AI Conference. They cover the disconnect between the hype and reality of AI agents in the enterprise, the critical importance of building reliable and trustworthy AI applications, and the potential impact of new H-1B visa poli
