The Joe Reis Show

Are vendors trying to lock down your data? In this episode, George Fraser breaks down why the "modern data stack" has evolved into "open data infrastructure". We discuss why data gravity is the most overrated concept in data management, how egress charges are often misunderstood due to poorly designed pipelines, and why companies must insist on having a true replica of their own data.George also shares his hands-on experience with AI coding agents, including how he manages his USTA tennis team with bots like OpenClaw and NanoBot.

Walking through Tokyo and breaking down the reality of the AI revolution.
In this Freestyle Friday from Shibuya Crossing, I look past the current AI hype cycle to examine the real bottlenecks of AI adoption. Is the current AI boom just a repeat of the dot.com bubble? Why is simply buying Copilot subscriptions for your team failing to move the needle?
Drawing parallels to the 40-year adoption curve of the electric grid, I discuss why most AI projects fail to get traction in the enterprise. Hint: it's not the technology, it's the organization. Plus, a look at the danger of firing employees before capturing their tacit knowledge, and how to actually rewire your business to be AI-native.

In this episode, I sit down with Bob Seiner, a true pioneer who has been working in data governance since before it was even called governance. We dive into why he calls BS on the trendy term "data enablement" and how his trademarked approach, Non-Invasive Data Governance, formalizes what organizations are already doing without beating employees over the head.We also unpack his latest concept, The Data Catalyst Cubed, and get into a fascinating discussion about the precarious state of data security in the age of LLMs and autonomous AI agents like OpenClaw. Plus, Bob shares some great war stories about building the T-DAN newsletter using Microsoft FrontPage back in 1997 and drops his best advice for standing out and building a personal brand in the noisy data industry.Where to find Bob:KIK Consulting: kikconsulting.com LinkedIn:   / robert-s-seiner-445313  Books: Non-Invasive Data Governance and The Data Catalyst Cubed

Do fundamentals still matter, or are we all just "vibe engineering" our architectures now?
Coming to you live and sweating from the hillsides of Phuket, Thailand, this week's Freestyle Friday dives into the tension between chasing the newest tech and mastering first principles. After a recent LinkedIn debate suggesting teams "don't have time" for fundamentals anymore, I had to set the record straight.
I cover why building data platforms without a theoretical framework is like building a house on a Thai hillside without a geologist (spoiler: it ends in a mudslide), the limits of Kimball, and why the rise of AI actually guarantees that data engineering is going to become more critical, not less.
Plus, an update on my upcoming book, Mixed Model Arts, and where you can catch me keynoting around the world in the coming months.
Links to my Upcoming Events:
April 29: Agentic Analytics Summit (Cube)

May 6-8: Data Innovation Summit (Stockholm, Sweden). Catch my Keynote on May 7th and my Mixed Model Arts workshop on May 8th!

May 18-20: Current (London, UK)

Wes McKinney is back to discuss his complete transition from AI skepticism to becoming heavily "locked in" on coding agents.Wes shares how he overcame his initial "existential dread" about the future of software engineering and completely rebuilt his personal productivity stack using tools like Claude and Codex. We dive deep into the reality of coding agents, why he believes Go has become the ultimate language for AI agents, and how he manages massive, multi-agent workflows to build production-level software without touching DevOps. Wes also breaks down his mission to fight the platform decay of services like Gmail by building his own local data sovereignty tools.