The AI Advantage: Navigating Risk, Reward, and Real-World Deployment

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.

An AI strategy is only as strong as the organization supporting it. This episode tackles the crucial challenge of achieving IT-wide alignment—the necessary foundation for enterprise scale. Join us to explore the operational blueprint for mobilizing your internal technology teams. We'll share how you can help your data scientists, engineers, architects, and business analysts all speak the same "AI language" and actively contribute to a unified, scalable platform. Stop working on separate projects and start building a synchronized IT engine that drives the collective AI effort across the entire business.

The AI era has arrived. But industry estimates say anywhere from 70% to 95% of AI pilots fail to get off the ground. The time is ripe to prove how you can move beyond proof-of-concepts, prototypes, and feasibility studies to real ROI and measurable business outcomes. In this first episode of The AI Advantage: Navigating Risk, Reward, and Real-World Deployment podcast, CIO.com’s Barbara Call talks with leading technology minds on how forward-thinking CIOs can move past siloed projects and endless pilots to accelerate enterprise-wide AI adoption