Episode 5: The CIO’s view on starting, and restarting, AI initiatives

Industry reports confirm an uncomfortable truth: many enterprise AI projects, despite massive investment, fail to deliver measurable ROI and end up in 'pilot purgatory.' The failure is rarely due to the model's capabilities, but rather strategic misfires, data foundation flaws, or the lack of a clear path to production. Join us for a candid discussion of firsthand experiences saving stalled AI investments. We'll dive into the signs of a failing initiative, how to perform an honest audit, and some non-negotiable steps CIOs must take to fix the data, governance, and organizational alignment needed to turn costly science experiments into sustainable, enterprise-wide value. Learn how to stop wasting budget—and instead how to pivot, restart, and scale your AI success.