Raw Data with Rob Collie

What Happens After the AI Works?


Listen Later

For the past few years, the conversation around AI has focused on the technology. Which model is best. Which tools to use. How fast everything is changing. But once you start building with it, a different challenge emerges. The technology is often the easy part. The hard part is everything else. The definitions that don't match. The documentation nobody trusts. The tribal knowledge living in someone's head. The processes that work only because a few key people know how to navigate around the mess. Business intelligence exposed some of these problems years ago. AI is exposing even more of them.

For years, the people who cared about semantic models were mostly talking to each other. Everyone else had a simpler view: the dashboards worked, the BI nerds were overcomplicating things, and if a slightly different version of yesterday's question showed up, someone could always write more SQL. That worked well enough until AI agents became the ones asking the questions. Agents don't wait two weeks for a developer. They improvise. And the improvisation is different every time. That's the moment the semantic model stopped being a nice-to-have and started looking a lot more like a requirement. Every data quality problem that used to come home to roost the first time you built a dashboard is back, only now the list is longer. AI cares about policies, institutional knowledge, organizational context, and all the things that used to live quietly in people's heads. The one-version-of-the-truth problem just got a much bigger job description.

Along the way, Rob and Justin compare notes from the front lines of building with AI, from multi-agent systems and knowledge management to the unexpected ways these tools behave once they leave the lab and meet real organizations. There's a book update in here too. Fair Game is officially available for pre-order, and Rob shares why the independent bookstore route matters more than most people realize. If you've been wondering what happens after the AI works, this episode is a pretty good place to start.

Also in this episode:

Pre-order Fair Game: Customizing AI to Your Business Is Easier Than You Think

Fortune: Big Tech is laying off developers. My company just hired its first. We're both right about AI (By Rob Collie)

...more
View all episodesView all episodes
Download on the App Store

Raw Data with Rob CollieBy P3 Adaptive

  • 5
  • 5
  • 5
  • 5
  • 5

5

53 ratings


More shows like Raw Data with Rob Collie

View all
The Joe Rogan Experience by Joe Rogan

The Joe Rogan Experience

228,364 Listeners

Planet Money by NPR

Planet Money

30,681 Listeners

More or Less by BBC Radio 4

More or Less

879 Listeners

Money Guy Show by Brian Preston and Bo Hanson

Money Guy Show

3,252 Listeners

The McKinsey Podcast by McKinsey & Company

The McKinsey Podcast

408 Listeners

Pivot by New York Magazine

Pivot

9,633 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

300 Listeners

Data Engineering Podcast by Tobias Macey

Data Engineering Podcast

144 Listeners

The Indicator from Planet Money by NPR

The Indicator from Planet Money

9,531 Listeners

The Journal. by The Wall Street Journal & Spotify Studios

The Journal.

6,088 Listeners

All-In with Chamath, Jason, Sacks & Friedberg by All-In Podcast, LLC

All-In with Chamath, Jason, Sacks & Friedberg

10,196 Listeners

Deep Questions with Cal Newport by Cal Newport

Deep Questions with Cal Newport

1,345 Listeners

The Ezra Klein Show by New York Times Opinion

The Ezra Klein Show

16,023 Listeners

Explicit Measures Podcast by PowerBI.Tips

Explicit Measures Podcast

32 Listeners

Explicit Measures Podcast by PowerBI.Tips

Explicit Measures Podcast

10 Listeners