The Joe Reis Show

The podcast discusses the importance of clean data and infrastructure for AI to effectively work. It emphasizes the frustration with discussions about adding business value and highlights the importance of high data quality for AI use cases.

Whenever Kevin and I get together, we "nerd snipe" each other. This conversation is no different, and it's a wide-ranging conversation about how the data landscape evolves alongside LLMs, education, startup mentorship, and the possible (looming?) startup mass extinction. Kevin's LinkedIn: https://www.linkedin.com/in/kevinzenghu/ Metaplane: https://metaplane.dev/

Matt Housley hangs out at my house and we chat about Data NIMBYism and gatekeeping. What is that? Listen and find out.

Gordon Wong has led data teams of all sizes, across many well-known companies. I consider him a Yoda in the data field, and this is a glimpse into the monthly chats that Gordon and I have. Unfiltered and uncut. Enjoy. Please note - we had to cut it a bit short, as Gordon had another call at the top of the call. Again, this is literally a look at a normal chat that Gordon and I engage in.

This week I had the opportunity to give two talks to two very different groups. Earlier in the week I spoke with a group of senior and above software engineers and leaders in Utah. Yesterday I spoke with a group of data engineers and leaders in Atlanta. The common theme? There's a big divide between dev and data, and data's often on the losing side of this divide. For data teams to be more successful, we need to close the divide and collaborate more closely with dev, and vice versa.

Vin and I chat about the challenges of writing books, how companies can mature with data science, why data scientists need to learn strategy, and much more. (We experienced a slight internet delay around the 15:30 mark, otherwise great) LinkedIn: https://www.linkedin.com/in/vineetvashishta/ Book: https://www.amazon.com/Data-Profit-Businesses-Leverage-Bottom/dp/1394196210 Site: https://www.datascience.vin/ ----------------------- If you like this show, give it a 5-star rating on your favorite podcast platform. Purchase Fundamentals of Data Engineering at your favorite bookseller. Subscribe to my Substack: https://joereis.substack.com/

We live in the golden age of data tools, yet we still lack a grasp on the basics of working with data itself - data literacy, modeling, solving problems people care about, etc. It's time to get back to basics, which I think will make data professionals way more effective at their jobs.

Scott Taylor (aka the Data Whisperer) is an OG in data content, speaking, and storytelling. He's been keynoting data events since the 1990s and keeps sharpening his game. Scott is someone I look up to, and I always enjoy our chats. LinkedIn: https://www.linkedin.com/in/scottmztaylor/ Website: https://www.metametaconsulting.com/ YouTube: https://www.youtube.com/channel/UCVQ1YhjNqc77GVsb3Xs4tvw (Note - there's a very slight interruption with our internet connection at the 35 minute mark) ----------------------- If you like this show, give it a 5-star rating on your favorite podcast platform. Purchase Fundamentals of Data Engineering at your favorite bookseller. Subscribe to my Substack: https://joereis.substack.com/

While on a hike today with a friend, we were engrossed in a chat about something that is often overlooked by technical practitioners - the politics of data. This takes many shapes and forms, and ultimately impacts the type of work you do. The main takeaway - learn to pay attention to the broader political landscape of your company.

Kai Zenner has been working on the EI AI Act for a while, and we chat about his perspective on its evolution, challenges, and potential. Along the way, we discuss why the EU AI Act differs from GDPR, why regulating a quasi-global piece of legislation is very difficult, and much more. I admit, politics and regulation are way outside my wheelhouse, and I learned a ton in this discussion. Given the impact the EU AI Act will affect the work of everyone involved with data, I think you'll learn a thing or two about not just the act itself, but also how the "sausage is made", so to speak. Enjoy! LinkedIn: https://www.linkedin.com/in/kzenner/ Twitter: https://twitter.com/ZennerBXL Site: https://www.kaizenner.eu ----------------------- If you like this show, give it a 5-star rating on your favorite podcast platform. Purchase Fundamentals of Data Engineering at your favorite bookseller. Subscribe to my Substack: https://joereis.substack.com/