Ethan Aaron, CEO of Portable, dives into the debate of whether data is a job or merely a skill. He discusses the barriers companies face in utilizing simple tools like Google Sheets for analytics. The conversation highlights the evolving role of data teams, addressing the gap between technical work and actual business value. Ethan also explores how businesses can identify impactful data applications to drive culture and efficiency, while navigating the cyclical nature of data trends and the integration of AI in decision-making.

In this podcast, Jean-Georges Perrin discusses data mesh, data contracts, modern data engineering standards, and the open standard project Bitol. They also explore data architecture and the shift towards practices over technology. The conversation extends to PayPal's adoption of a data mesh approach, challenges faced, and successful data product launches within set constraints.

Joe Reis and Matt Housley discuss the demise of the Modern Data Stack, architectural trade-offs, AI applications, data democratization, and caution against blind trend-chasing in tech. They also share excitement for future events and guests.

Scott Taylor joins the show to chat about explaining "value" to the business, conducting live interviews with puppets, the difference between marketing and data teams, communication challenges and strategies for business, the power of humor and videos in presentations, and the potential of AI in master data management.

Michel Tricot, CEO of Airbyte, discusses the impact of AI on traditional data practices and the role of vector databases. They also talk about real-time data, the importance of data integration and automation in analytics systems, AI rights, and upcoming events.

Benn Stancil, product development and writing expert, discusses 2024 predictions, the impact of GenAI on product development, the evolution of the data ecosystem, the influence of TikTok on Gen Z's news consumption, and more.

Dave Langer returns to the show to chat about Python in Excel, data science in SMBs without "data scientists", and much more

The hosts discuss the impact of Jack Welch's management style, the importance of building a quality product, the role of DevOps in data engineering, the use of co-pilot and ChatGPT in workflows, recommended tools for data contract work, using open source software in data engineering, the three tiers of data modeling, and tracking personal health data

Alex Gallego, CEO of Redpanda, discusses the streaming data renaissance, open formats for tiered storage, and the evolution of data stacks for startups. Topics include WebAssembly, AI models in streaming data, challenges in data exchange, and evolving compute platforms in streaming data processing.

Mike Ferguson, industry expert in data management and analytics, discusses top key trends in data management and analytics, including GenAI, architecture modernization, and FinOps. Podcast explores the role of generative AI in improving productivity and automation, as well as natural language interfaces in data management. Trends in data governance, such as AI in data catalogs and labeled data policies, are also discussed.