That's it folks! We're done. This is the final episode of the Monday Morning Data Chat.

Find Joe and Matt wherever they might be.

The amount of hype and bullsh*t in AI is today is sky high. But there's also some awesome achievements happening in the field as well. How do you separate what's real and what's hype? Paco Nathan has been at the forefront of ML and AI, among other fields, for several decades. He joins us to chat about the myths and reality of AI.

Weimo Liu joins us to chat about all things Iceberg, including why it's the unified storage for SQL and NoSQL.

Ricky Thomas and Paul Dudley join us to chat about streaming CDC and much more.

Andrew Ng joins us to chat about AI, data engineering, and education. Enjoy!

Ghalib Suleiman joins us once again to talk about data stacks, open table formats, data roles, and much more.

Should data engineers focus on the technology? Finding ways to transform data into something valuable? Both? Tevje Olin joins us to chat about what he thinks data engineers should focus on.

LinkedIn: https://www.linkedin.com/in/tevjeolin/

Agile Data Engine: https://www.agiledataengine.com/

Rob Harmon joins us to chat about small data, being efficient, data modeling, and much more.

We're back from our Summer break and ready to rant about all kinds of stuff. We talk about the tech downturn, AI hype bubbles, and much more.

Nick Schrock and Wes McKinney join us for a chat about composable data stacks, open table formats, managing complexity, and much more.

Joe and Matt are going to take the summer off from the Monday Morning Data Chat. They'll chat about what's on their minds, summer plans, and more.

Plus, special guest Zhamak Dehghani discusses the current state of Data Mesh, and what she's up to at NextData.

Ghalib Suleiman (Polytomic) joins the show to chat how the zero-interest rate hangover is affecting data and AI. We dive into the AI hype cycle, "data influencers", data vendors, data teams, and much more.

Bart Vandekerckhove (Raito) joins us to chat about data security, and the challenges data teams face when using traditional IAM technology and workflows for data access/security management.

It seems like LLMs are taking the analytics world by storm. But how do you use them to support the analytics workflow? Yali Sassoon (CTO, Co-founder of Snowplow) joins us to chat about this and much more.

We'll also likely dive into behavioral analytics and more.

Snowplow: https://snowplow.io/

David Yaffe (Estuary) and John Kutay (Striim) join the show to chat about the state of streaming and change data capture (CDC) in 2024 and beyond. There is a lot to cover and learn in this show.

Estuary: https://estuary.dev/

Striim: https://www.striim.com/

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 (CommonCog) and Sam Taylor join us to chat about communicating sophisticated stuff to stakeholders, statistical process control, XmR charts, and a ton more. CommonCog: https://commoncog.com/

XMRIT: https://xmrit.com/

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."

Veteran data industry analyst Tony Baer joins us to chat about his outlook for generative AI in 2024 and beyond.

Tony goes way deeper than most people in his analysis, and if you're interested where things are going with generative AI, you better tune into this.