#181 - Andrew Ng - Why Data Engineering is Critical to Data-Centric AI

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.

https://www.linkedin.com/in/sol-rashidi-a672291/ is a heavy hitter in the enterprise data space, having been CXO at Estee Lauder, Sony, Merck, and more. She joins us to chat about getting business value from data, the CXO playbook, AWS ReInvent, and more.

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