Your AI doesn’t have a model problem. It has a data context problem
Euphonic AI’s Asa Whillock on the three layers of context most AI teams are missing Listen now on YouTube |...
Why the biggest AI enthusiasts care most about governance
Atlan’s Gene Arnold on why the teams that ship AI are the ones that govern it Listen now on YouTube...
Culture Eats AI for Breakfast
Data leadership veteran Randy Bean on why 94 percent of AI challenges have nothing to do with technology Listen now...
Why boring AI use cases will win in 2026
Babson’s Tom Davenport explains why boring AI use cases will deliver value first Listen now on YouTube | Spotify |...
3 AI Lessons from 27 Data Leaders in 2025
What a year of conversations revealed about strategy, agents, and alignment Listen now on YouTube | Spotify | Apple Podcasts...
Why code-first data science still wins in the age of AI
Posit’s Bruno Trimouille explains why governance and innovation aren’t a zero-sum game for data science teams Listen now on YouTube...
Data Lineage for AI: Why Truth Beats Hope in Banking
Solidatus’ Tina Chace reveals how column-level tracking and business context prevent a cascade of organizational failuresListen now on YouTube |...
The Barcode on the Bronze: Why Your AI Needs to Know What Makes You Different
Adesso Associates’ Gina von Esmarch reveals how teaching AI your context beats generic automation Listen now on YouTube | Spotify...
Augmented Intelligence: The Future of Sales Enablement
LaunchDarkly’s Matt Magne shares why augmented intelligence beats automation in sales enablement Listen now on YouTube | Spotify | Apple...
Why 80% of AI Projects Fail (And the Three Boring Decisions That Save the Other 20%)
AI analyst and DMRadio host Eric Kavanagh on the three unglamorous decisions that separate AI success from expensive failure Listen...