All Episodes

Episode 215

November 13, 2024

with Patrik Devlin

 – Co-Founder & CTO, Wilde AI

This week on The Data Stack Show, Eric and John welcome Patrik Devlin, Co-Founder and CTO at Wilde AI. During the conversation, Patrik talks about his background in software and data engineering, his startup experiences, and the technical intricacies of Wilde’s predictive lifetime value (LTV) product. Key topics include the use of DuckDB and Mother Duck in data architecture, the realities versus marketing of data clean rooms, and the evolution and technical challenges of QR codes. Patrik also discusses Wilde’s data-sharing strategies, the importance of developer experience, future directions in data processing technologies, and more.

Episode 214

November 6, 2024

with Matthew Kelliher-Gibson

 – Cynical Data Guy

This week on The Data Stack Show, it’s another edition of the Cynical Data Guy as Eric and John welcome Matthew Kelliher-Gibson. The group dives into the complexities of data management in the business world. They critique LinkedIn posts, starting with the announcement of Salesforce’s AI product, Agent Force, discussing its implications and marketing language. The conversation then shifts to the value and waste of data, emphasizing the need for strategic data collection aligned with business goals. They also explore the challenges of real-time data requests and managing legacy systems, offering practical advice and humorous insights on navigating the evolving data landscape. Don’t miss the latest edition of the cynical data guy!

Episode 213

October 30, 2024

with Taylor Murphy

 – Founder and CEO, Arch

This week on The Data Stack Show, Eric and John welcome Taylor Murphy, Founder and CEO of Arch, a data analytics platform. Taylor discusses Arch’s evolution of its vision and delves into the challenges and innovations in the ETL (Extract, Transform, Load) space. The group also discusses the impact of AI on data analytics, the importance of modern data practices. And how AI can enhance data teams’ capabilities, emphasizing the necessity of human expertise alongside AI. The episode also explores the commoditization of data storage and compute costs, the bundling of data services, and so much more.