If there's one thing that we absolutely knew would be coming along with the increased interest and use of AI, it would be… more acronyms! And, along with the acronyms, we pretty much could predict that we see a lot of online flexing through casual dropping of said acronyms as though they're deeply understood by everyone who's anyone. We tackled one such acronym on this episode: MCP! That's "model context protocol" for those who like their acronyms written out, and Sam Redfern joined us to help us wrap our heads around the topic. You see, MCP is kinda' like some other more familiar acronyms like API and XML. But, it's also like… fingers? Sam's enthusiasm and explanation certainly had us ready to dive in!

This episode's Measurement Bite from show sponsor Recast is an explanation of model robustness from Michael Kaminsky!

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

It's the most…won…derful…tiiiiime…of the year! And by that, we mean it's the time of the year when we sit back, look at each other, and ask, "Where did all the time go?!" We brought back a very special someone for this episode as we collectively reflected on the year—show highlights (and what about those shows have stuck with us), industry reflections, and a little shameless shilling for Tim's book (are you still short on a few stocking stuffers? Order now…!).

This episode's Measurement Bite from show sponsor Recast is a brief explanation of Granger causality (and how it's NOT actually a causal measure!) from Michael Kaminsky!

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Semantic layers are having something of a moment, but they're not actually new as a concept. Ever since the first database table was designed with cryptic field names that no business user could possibly understand, there's been a need for some form of mapping and translation. Should every company be considering employing a semantic layer? Is the idea of a single, comprehensive semantic layer within an organization a monolithic concept that is doomed to fail? These questions and more get bandied about on this episode, where we were joined by industry legend Cindi Howson, Chief Data & AI Strategy Officer at Thoughtspot.

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

This episode's Measurement Bite from show sponsor Recast is an explanation of multicollinearity from Michael Kaminsky!