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
Stanford professor and Kumo.ai co-founder Jure Leskovec introduces the concept of a relational foundation model for structured enterprise data. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·
This episode features Philip Rathle, CTO of Neo4j, discussing the real-world state of Graph RAG and its journey from prototype to production in enterprise AI systems. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Pod
Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show
Ben Lorica and Evangelos Simoudis of Synapse Partners explore the complex reality behind AI-driven layoffs, from automation and upskilling gaps to strategic shifts in R&D. They also dive into the massive capital investments in AI, discussing the growing pressure for ROI and the emergence of LLMOps as a form of financia
Ciro Greco, Co-founder & CEO at Bauplan, joins the podcast to discuss a new paradigm for data engineering rooted in software engineering principles. He explains how treating the data lakehouse like a software project — with version control, branching, and transactional pipelines — creates a robust and safe environment
Mike Freedman and Ajay Kulkarni, founders of Tiger Data, join the podcast to unveil Agentic Postgres, a database re-imagined for AI agents. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS
