Predictive AI, The Data Quality Crisis & The Octopus Model: How 2025 Redefined Data and AI
December 23, 2025
As we draw the curtains on 2025, it’s time to celebrate and reflect on the tectonic shifts the data and AI landscape have brought our way. In this episode of Bringing Data and AI To Life, hosts Amy Horowitz and Nick Dobbins reflect on a remarkable year of conversations with industry leaders, unpacking breakthrough insights that separate organizations thriving with AI from those merely chasing the hype. Featuring memorable moments from guests including Alana Val-Hackett, Sean Farney, Joe Reis, Karen Pfeifer, Cara Dailey, Kevin Petrie and Eric Siegel, this episode captures the strategic themes reshaping how enterprises operationalize trusted data and responsible automation.
As we draw the curtains on 2025, it’s time to celebrate and reflect on the tectonic shifts the data and AI landscape have brought our way. In this episode of Bringing Data and AI To Life, hosts Amy Horowitz and Nick Dobbins reflect on a remarkable year of conversations with industry leaders, unpacking breakthrough insights that separate organizations thriving with AI from those merely chasing the hype.
What You’ll Learn:
- How to transform data work into mission-critical outcomes
- Why you should focus on “keeping your data closets clean” before chasing agentic AI
- The agentic AI transformation from “human in the loop” to “human on the loop”
- The garbage in, garbage out data crisis we’re battling today
- How to structure and design your organization for maximum AI leverage
- Why governance and human judgment are non-negotiable in today’s AI-driven world
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts and Spotify. Instructions on how to do this are
here.
If you enjoyed this episode, please visit:
Bringing AI and Data to Life is handcrafted by our friends over at:
fame.so