Mike Stonebraker, CTO & Co-Founder At DBOS, discusses the idea of building an operating system on top of a database. He explores the challenges of Heisen bugs in databases, integrating databases into OS, and the benefits of simplicity in systems. Stonebraker also delves into database transaction optimization, large language model integration at D-BOS, and the future potential of Postgres SQL database.

Don Chamberlin, Co-Inventor of SQL, discusses the origins and evolution of SQL, highlighting the democratization of data access and the challenges faced in its development. The episode explores the creation of relational databases and the impact of SQL on modern data practices, including its standardization and influence on programming languages.

Sanjay Srivastava, Chief Digital Strategist at Genpact, discusses the importance of creating an AI-first culture in organizations. Topics include shifting mindsets towards automation, navigating digital transformation in large enterprises, exploring enterprise architecture in a changing global landscape, and opportunities in precision medicine, sustainability, and social inclusion with AI.

Swati Kirti, Sr Director of Data Science at Walmart, discusses Walmart's AI & data strategies, customer experience, supply chain optimization, scaling AI solutions, and innovation in retail with host Richie.

Kyle Daigle, COO of GitHub, discusses GitHub CoPilot's impact on coding, future of programming with AI, challenges with AI tools adoption, and philosophical implications of AI in software development. Explore AI's role in coding, democratization of coding, and potential of ambient AI for user productivity.

AI product builder and educator, Alex Banks, delves into the art of prompt engineering in AI. Topics include strategies for effective prompting, chain of thought prompting, building custom AI tools, AI literacy, and the future of language models. Listen to gain insights on maximizing AI potential and transforming daily life.

Learn the art of data storytelling from experts Brent Dykes, Lea Pica, and Andy Cotgreave. Discover how to craft compelling data narratives, engage diverse audiences, tailor data presentations effectively, and deliver challenging information with empathy and cultural sensitivity. Get valuable tips on enhancing data storytelling and driving impact through clarity, readability, and engagement.

Laura Gent Felker, Tiffany Perkins-Munn, and Omar Khawaja delve into scaling data analytics adoption in organizations. They discuss change management strategies, driving culture change around analytics tooling, and enhancing communication between technical and non-technical employees through storytelling and workshops. The podcast also explores cultural transformation for data-driven decision-making and balancing human judgment with data analytics.

Experts Esther Munyi, Amy Grace, Stefaan Verhulst, and Malarvizhi Veerappan discuss strategies for improving data quality, fostering trust in data governance, and balancing governance with accessible data. They explore the significance of data quality in decision-making, establishing trust in data governance, navigating the balance of data use and protection, measuring and ensuring data quality, and building trust in data discoverability within organizations.

Russell Johnson, Denisse Groenendaal-Lopez, and Mark Stern discuss building a learning culture within analytics functions. They highlight the importance of continuous education, upskilling, and fostering curiosity. Topics include peer-to-peer learning, sharing results, sustaining a learning culture, data literacy, and collaboration in data science hackathons.