Scaling Healthcare AI Without Exposing Patient Data
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About the Event
Join Skyflow for an executive dinner on how healthcare organizations can scale AI while keeping patient data protected.
AI needs real clinical context to be useful, but PHI now flows through prompts, models, agents, and outputs that traditional healthcare data controls weren't designed to protect. Over dinner, healthcare technology, security, and data leaders will discuss how de-identification, runtime data control, and governance make sensitive data safely usable for AI without losing the clinical context that makes it valuable.
Your Host
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Ari Hoffman is Head of Customer Experience at Skyflow, where he leads the global implementation, customer success engineering, and enterprise architecture teams helping leading enterprises securely deploy AI and manage sensitive data. He brings more than a decade of experience translating technical challenges into scalable solutions, with a focus on data security, privacy, and AI. Ari works closely with healthcare and digital health organizations — spanning telehealth, digital pharmacy, clinical AI, and consumer health platforms — on the hardest questions around sensitive data and AI, involving privacy obligations and enabling secure use across models, agents, and applications. Prior to Skyflow, Ari held leadership and technical roles at Cisco, Fiserv, and Moody's.