LIVE WEBINAR
Thursday, August 06 | 2pm ET
Duration: 1 hour
Can't make the live date? Register and we'll send you a link to the recording. ​

Healthcare and life sciences organizations are racing to accelerate discovery, improve diagnostics, and advance digital health and medical device innovation with AI.

As teams move from single-model experiments to agentic AI workflows that coordinate models, approved tools, and trusted data, they need practical ways to develop, evaluate, and govern those workflows before broader deployment. But developing and validating these models can introduce significant friction. Shared data center resources, cloud latency, unpredictable costs, and strict privacy requirements often slow experimentation, limit productivity, and make it harder to move AI projects forward. Join this webinar to learn how to scale AI development and create the right conditions for broader AI adoption, including how to: 

• Keep sensitive data secure and compliant  
• Scale AI across specific clinical workflows and use cases
• Enable AI development from early experimentation through real-time execution with AI stations

SPEAKERS

Matt F. Redlon, M.B.A.
Chair of Mayo Clinic AI Program and Vice President of Digital Biology, Mayo Clinic Digital Pathology

Curtis Burkhalter
Technical PMM, HP

Belgin Caglar
Healthcare and Life Sciences Industry Marketing Manager, NVIDIA