From Pilots to Operating Models: Overcoming Adoption Hurdles with Data, Governance and Value Realization

Healthcare leaders are under growing pressure to move beyond isolated AI pilots and proofs of concept, and instead establish durable, trustworthy operating models that deliver measurable organizational value. As regulatory scrutiny increases, clinician trust becomes critical, and investment decisions tighten, the question is how to scale AI responsibly and sustainably across the enterprise.

This in-person executive session, conducted in partnership with Avanade and Microsoft, will demystify what it truly takes to operationalize AI in a healthcare setting. The discussion will be grounded in real-world experience and focus on the practical enablers of responsible AI adoption: strong and interoperable data foundations, transparent governance and accountability structures, and rigorous approaches to value definition and measurement.

Attendees will explore how leading organizations are:

• Shifting from experimentation to enterprise readiness and embedding risk and compliance controls into day-to-day operations.

• Creating trust-building mechanisms for clinicians and other stakeholders. 

• Establishing clear, repeatable pathways from use case selection to ROI realization.

The result: AI that is not only deployable, but dependable: auditable, scalable, and aligned to strategic, clinical, and financial outcomes.

This meeting is designed for Healthcare Systems and Provider leaders and innovators. 

Space is limited to ensure meaningful discussion and networking.

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