Salma Bakouk (CEO of Sifflet) and I discuss the evolving data and AI landscape, the rise of data observability in the age of AI, balancing personal and professional life as a founder, and much more.

Jordan Morrow and I have a lot of experience with public speaking. We get a lot of questions about tips for public speaking.

In this episode, we chat about how to get started with public speaking, tips for awesome presentations and talks, and much more.

Simon Späti and I discuss various aspects of writing, data engineering, and the impact of AI on the writing process. Simon shares his journey from business intelligence to data engineering and his current focus on writing. We also discuss the future of writing in the age of AI. Enjoy!

Todd Beauchene joins me to chat about being an early employee at a tiny startup called Snowflake, modern data platforms, and much more.

In this episode, I explain how I use (and don't use) AI for writing.

The Data Cynic, aka, Matthew Kelliher-Gibson, and I chat about all things cynical about the data field, working in Dilbert-land, negotiation for data professionals, and much more.

My semi-regular co-host and bestie Carly Taylor joins me once again. This time we chat about the true cost of replacing engineers with AI. We explore the implications of mass layoffs, the importance of company culture, and the potential for burnout among tech workers.

It seems like quite a few data practitioners I talk with are miserable. Forced to deliver things ever faster, there's not enough time to THINK. Instead, the pressure is to deliver "stuff" in two-week sprints. In this episode, I rant about why not everything needs to be a sprint, and why we need to treat Deep Work versus Delivery Work differently.

John Thompson joins me to chat about his upcoming book, The Path to AGI, his book writing process, and much more.

John Thompson LinkedIn: https://www.linkedin.com/in/johnkthompson/

Things aren't great in the world of data practitioners. Lots of technical debt and lack of pride in one's craft. The pressure to do more with less only compounds this problem. And AI will make it far worse.

If you think the amount of poorly made data architecture and models is bad now, I think we're in for another level very soon. With AI CoPilot on the rise, right as data skills and knowledge decline, I'm increasingly worried we'll offload our critical thinking and skills to AI. The outcome will be an ever expanding Great Pacific Garbage Patch of AI Data Slop.