The Joe Reis Show

Exploring the importance of distinguishing outputs from outcomes in the data industry for substantial business value. Discussing current state of tech companies, potential layoffs, consumer confidence, and prioritizing outcomes for personal and professional advancement in data roles.

Ari Kaplan (Head of Evangelism at Databricks) joins me to chat about all things data intelligence, data lakehouses, the role of evangelism in tech companies, automation, and much more.

I chat about my working (and evolving) definition of data modeling. In short, we need to move beyond a human-centric view of data modeling, as most data is consumed by machines.

Jordan Morrow and I hung out at my house and chatted about all things data literacy, the great outdoors, and more. Enjoy!

What am I seeing in data engineering in 2024? Listen and find out.

Steve Nouri has a massive following on LinkedIn, travels the world speaking at conferences and advising companies, and most recently created a community - Generative AI, on LinkedIn. We chat about being an influencer, building and growing a community, and much more.

I often get some questions - What happened to data modeling? Where do I learn data modeling? Where the heck is your new book? Well, at least some of your questions will be answered in this podcast. I'm launching a new project called Practical Data Modeling on Substack. You'll get weekly articles, early chapters of my new data modeling book, community discussions, and much more. Subscribe to Practical Data Modeling: https://practicaldatamodeling.substack.com/

It's that time of year - lots of predictions and resolutions. I rant about my thoughts on New Years predictions and resolutions, stuff I'm stoked on in 2024, and more. I sincerely appreciate each and every one of you for your support. It means a ton. Happy 2024!!!

Will Gaviria Rojas, co-founder of CoactiveAI, and Joe Reis discuss the exciting world of unstructured data and AI, including fine-grain searching and image recognition. They explore the concept of data-centric AI, the shift towards multimodal models, and the challenges of working with massive amounts of data. The rapid generation of data sets and the future of AI-generated content are also discussed, along with the significance of expertise in working with unstructured data.

What happens when AI can generate content about whatever - or whoever - whether it's true or not? Welcome to 2023 and beyond. I think the Internet is about to become a sea of complete sh*t of uninteresting and inaccurate content. The value of most content on the Internet will be less than worthless. What can content creators and authors do? I provide some ideas...