All Episodes

Episode 236

April 9, 2025

with Eric Dodds and John Wessel

āŸā€“ Co-Hosts, The Data Stack Show

This week on The Data Stack Show, Eric and John explore the transformative impact of artificial intelligence (AI) on technology and business. They discuss AI’s rapid advancements, drawing parallels to historical shifts like e-commerce. The conversation explores the future of roles within companies, particularly in data management and SaaS products, and considers the broader implications for business operations. They also touch on the changing landscape of data roles, the accessibility of AI-driven services, the potential for AI to democratize high-value services and reshape industries, and more.

Episode 235

April 2, 2025

with Pete Soderling

āŸā€“ Founder & General Partner, Zero Prime Ventures | Founder, Data Council

This week on The Data Stack Show, Eric and John welcome back Pete Soderling, Founder of Zero Prime Ventures and Founder of Data Council, to the show. During the conversation, the group discusses Pete’s career journey, from the first dot-com bubble in New York City to his transition to the Bay Area. The discussion highlights the significance of data culture, the rise of AI, and the current tech ecosystem, particularly in San Francisco. Pete emphasizes the evolving role of data engineering in the AI era and the importance of robust data management. They also preview the upcoming Data Council conference, focusing on data and AI integration and looking ahead at other notable speakers and topics for the conference. Don’t miss the special DataStack show coupon for money off your ticket to Data Council.

Episode 234

March 26, 2025

with Matt Kelliher-Gibson

āŸā€“ The Cynical Data Guy

This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group discusses the transformative impact of artificial intelligence (AI) on data work. They dig into AI-driven transcription services, code generation, and the evolving landscape of AI tools. The conversation also highlights the potential failures of companies relying on outdated models, the importance of maintaining a deep understanding of data systems, balancing AI efficiency with foundational knowledge in data engineering, and so much more.