
Voices shaping the future of intelligent healthcare, from clinical executives to pioneers in AI research.
Through dynamic panels and curated discussions, we’ll focus on themes that help us accelerate as leaders while exchanging ideas that spark the next wave of healthcare innovation.

The CIO, CMIO, and CAIO titles are being rewritten in real time. The skills, accountability, and identity that defined these roles are no longer sufficient. Leaders are being asked to reinvent their function while simultaneously leading their organizations through the same transformation.
AI adoption is outpacing regulatory alignment. As federal and state policymakers take different approaches to AI oversight, health systems are making long term vendor commitments without a clear view of the compliance landscape those technologies will face over the next several years.
Health systems are making permanent vendor decisions inside a temporary governance vacuum. AI adoption is accelerating while the frameworks to guide it are still being written. Every deployment decision made before governance is in place is a long-term commitment dressed up as a short-term experiment.
Healthcare has used AI as a copilot so far - World Models represent something categorically different. World Models seek to build internal representations of cause, consequence, and uncertainty. The result could be AI that displays the kinds of intuition, judgment, and reasoning that clinicians traditionally developed through years of training, pattern recognition, and lived experience.


.png)
.png)




.png)


.png)


