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