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Semantic Models Give You (and Microsoft) the AI Upper Hand - Plus a History Lesson on Why Frontends Matter

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Manage episode 495884641 series 2798195
Content provided by Rob Collie and P3 Adaptive. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rob Collie and P3 Adaptive or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Back in 2010, Tableau beat smarter tools with a better demo. No brain, all charm and the market loved it. Fast-forward to now: same playbook, new costume. The AI dashboard crowd is selling “natural language BI” with zero semantic model, zero memory, and a whole lot of LinkedIn swagger. In this episode, Rob and Justin revisit why Tableau’s empty-calorie approach won the first round, and how that same mistake is about to flood the AI + BI space all over again.

Turns out, you can still sell snake oil if you call it GenAI. Rob breaks down how an elite MIT course managed to skip LLMs entirely, how a flashy Tableau blog post went viral for connecting a CSV, and why “AI-ready” vendors keep duct-taping chat interfaces onto raw SQL and hoping no one looks under the hood. But the real story? Microsoft is sitting on the most powerful data brain in the game, and if they land the front end, it’s game over.

This isn’t just a history lesson. It’s a blueprint for seeing through the hype and betting on what actually works. If you’re building, buying, or betting on AI tools, listen in before you get dazzled by the demo.

Also on this episode:

Early Experiments in Tableau’s New MCP Service

  continue reading

197 episodes

Artwork
iconShare
 
Manage episode 495884641 series 2798195
Content provided by Rob Collie and P3 Adaptive. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rob Collie and P3 Adaptive or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Back in 2010, Tableau beat smarter tools with a better demo. No brain, all charm and the market loved it. Fast-forward to now: same playbook, new costume. The AI dashboard crowd is selling “natural language BI” with zero semantic model, zero memory, and a whole lot of LinkedIn swagger. In this episode, Rob and Justin revisit why Tableau’s empty-calorie approach won the first round, and how that same mistake is about to flood the AI + BI space all over again.

Turns out, you can still sell snake oil if you call it GenAI. Rob breaks down how an elite MIT course managed to skip LLMs entirely, how a flashy Tableau blog post went viral for connecting a CSV, and why “AI-ready” vendors keep duct-taping chat interfaces onto raw SQL and hoping no one looks under the hood. But the real story? Microsoft is sitting on the most powerful data brain in the game, and if they land the front end, it’s game over.

This isn’t just a history lesson. It’s a blueprint for seeing through the hype and betting on what actually works. If you’re building, buying, or betting on AI tools, listen in before you get dazzled by the demo.

Also on this episode:

Early Experiments in Tableau’s New MCP Service

  continue reading

197 episodes

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