Nick Schrock and Wes McKinney discuss composable data stacks, open table formats, managing complexity, and trends in AI and ML. They explore challenges in data management, hardware acceleration for data processing, and reflections on data work.

Special guest Zhamak Dehghani joins the hosts to discuss the current state of Data Mesh and her work at NextData. They explore challenges in AI safety, data curation practices, and the evolution of data hype. The conversation also touches on innovations in the data industry, the future of semantic layers, and upcoming events and product launches. The hosts wrap up with casual conversations about summer break plans and tease exciting future podcast episodes.

Ghalib Suleiman, expert in data and AI, discusses the zero-interest rate hangover affecting the industry. Topics include AI hype cycle, challenges for data teams, importance of fundamental problem-solving, ethics of data influencers, evolution of data modeling, market size impact on VC funding, and the role of data in business strategies.

Bart Vandekerckhove, data security expert, discusses challenges faced by data teams using traditional IAM tech. Topics include zero trust concept, breaches, balancing security with efficiency, promoting security culture, incentives for data practitioners, transition to observability-centered security, managing sensitive data with masking rules and access controls.

Yali Sassoon, CTO and Co-founder of Snowplow, discusses the use of LLMs in analytics workflows, behavioral analytics, and the evolution of language models in data science. They explore how LLMs can enhance communication, decision-making, and problem-solving, while also addressing potential risks and ethical concerns. The conversation touches on industry trends, book writing challenges, and upcoming events in data analytics.

David Yaffe from Estuary and John Kutay from Striim discuss the state of streaming and Change Data Capture in 2024. They cover topics such as advancements in CDC technology, managed solutions for streaming data, challenges in data engineering, and the impact of accessible streaming on analytics and application development.

Data products are all the rage. But what are they? And what the heck does "customer-facing" mean? Will your old-school BI tool handle customer-facing needs? Solomon Kahn joins us to chat about customer-facing data products and much more. He's one of the people we consider to be at the bleeding edge of modern analytics and data products, so definitely check this out. Delivery Layer: https://www.deliverylayer.com/ LinkedIn: https://www.linkedin.com/in/solomonkahn/

Katharine Jarmul is a AI/ML privacy and security expert, and the author of Practical Data Privacy. She joins us to chat about whether we are solving the "right" problems with AI/ML/data science, exploring what "safe", "responsible", and "ethical" AI means, and much more.

Cedric Chin and Sam Taylor discuss communicating sophisticated data to stakeholders, statistical process control, XMR charts, and the importance of clear communication. They explore tools like Zamarin for data analysis and empowering operators with data tools for process improvement. The conversation emphasizes driving continuous improvement through data communication and organizational decentralization, highlighting the significance of prioritizing data for business success.

Martin Musiol (Founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys) joins us to chat about all things generative AI, and his new book, "Generative AI: Navigating the Course to the Artificial General Intelligence Future."