How about this: From Pilots to Impact: Scaling AI in Healthcare and Life Sciences

AI is rapidly moving from experimentation to enterprise ambition across healthcare and life sciences. Yet many organizations find that despite successful pilots, AI struggles to scale in ways that deliver sustained value. The barrier is rarely the technology itself. It is trust.

This session explores what it truly takes to scale AI responsibly in complex, regulated environments where patient safety, scientific integrity, and operational reliability are paramount. Drawing on cross-sector experience, the talk reframes AI scaling as a leadership and operating model challenge rather than a technical one.

Attendees will examine recurring patterns that cause AI initiatives to stall after pilots, including fragmented ownership, misaligned incentives, and governance approaches that either slow innovation or undermine confidence. The session highlights how trust across clinicians, researchers, regulators, and executives determines whether AI becomes embedded in daily workflows or remains isolated at the margins.

Designed for senior leaders responsible for enterprise transformation, this keynote offers a pragmatic perspective on how healthcare and life sciences organizations can move from AI activity to integrated, scaled adoption through deliberate leadership decisions about accountability, reinvestment of AI-enabled capacity, and trust at scale.