Practical AI

Think Big, Start Small: Paul Carroll on AI, Platforms & Avoiding Big Mistakes

In this first episode of Practical AI, Julien Breteau sits down with Paul Carroll, Editor-in-Chief of Insurance Thought Leadership and co-author of Billion Dollar Lessons. Paul shares hard-won lessons from covering IBM’s near-collapse at the Wall Street Journal to advising thousands of business leaders on innovation. Together, they explore: * Why slow decision-making kills AI adoption (and what CEOs can do about it) * How today’s “platform wars” echo the Windows vs. Mac battles of the 90s and why choosing the right AI platform matters * The difference between generative AI and data science (and the risk of mixing them up) * A practical playbook for leaders: how to think big, start small, and kill bad ideas fast * The single most important metric CEOs should track in their AI pilots If you’re a CEO, operator, or business leader looking to cut through AI hype and uncover practical strategies, this episode delivers the insights you need. Learn more about Paul’s work at Insurance Thought Leadership [https://www.insurancethoughtleadership.com]