Episode 100: What We've Learned About AI

Cloudera, Inc.

Nov 10, 2026

After 100 episodes, The AI Forecast has covered a remarkable amount of ground. We’ve learned a lot about what AI can do and what it takes to put it to work in the real world. And the more we’ve uncovered, the more questions have emerged about what comes next and how we should navigate it.

To mark this milestone on The AI Forecast, Paul Muller looks back at some of the conversations that have shaped the show and asks what they reveal about where enterprise AI is actually heading. Different guests, different industries, but one recurring question: how much responsibility are we willing to hand over to AI?

Paul revisits Jeanette Epps on trust in mission-critical environments, Sol Rashidi on what it takes to get AI into production, Varun Puri on using AI to lead more thoughtfully, and Darlene Newman on the decision logic behind automation. Nell Watson and Theresa Payton explore agentic AI and cybersecurity, while Sergio Gago and Leo Brunnick look at how AI is reshaping enterprise infrastructure.

Episode 100 is a look back at what The AI Forecast has learned so far — and a reminder that after all the hype and breakthroughs, the most interesting AI questions are still the ones we haven’t answered yet.

Revisit the conversations that shaped the show:*
AI, autonomy, and trust in mission-critical environments
Why enterprise AI is harder than the demo
Using AI to become a better leader
Decision logic and the missing context behind enterprise AI
Guardrails for agentic systems
The new cybersecurity attack surface
Why AI is forcing enterprises to rethink their infrastructure

If you’ve been with us for one episode or all 100, thank you for listening. Here’s to the next 100.

🔔 Like and subscribe to The AI Forecast, sponsored by Cloudera, and join us for the next 100 conversations about data, AI, and what comes next. https://www.youtube.com/channel/UCXY5wm6HlBL_Y_8SDxJNR0g