Where should a hospital’s AI actually run, and who controls the data it learns from?

In this episode of AI Meets MedTech, Anna Nesterova sits down in the studio with Samantha Rubinchik, CFO & Co-Founder of Warp Lab, to talk about the fight over data sovereignty in healthcare. Cloud AI promises speed and scale. But for many clinics and health systems, sending patient data off-site is a risk they won’t take. Samantha explains why on-prem infrastructure still matters, what “keeping data off the cloud entirely” means in practice, and what it takes for a hospital to trust an AI that runs on its own hardware. She even brought one of Warp Lab’s on-prem units into the studio.

We cover:

• Data sovereignty: who owns, controls and is accountable for patient data
• On-prem vs cloud AI: the real trade-offs in safety, cost and control
• Why some healthcare organizations keep patient data off the cloud completely
• What it takes to get a clinic or hospital comfortable with a local AI
• The business side: risk, liability and the economics of owning your AI stack

If you’re a healthcare leader, a MedTech founder, or anyone deciding where your organization’s AI should live, this one’s for you.

⏱️ Chapters

🔗 Links
Warp Lab: https://warp-lab.ai
Samantha Rubinchik on LinkedIn: [add link]
Newsletter & more: http://www.aimeetsmedtech.com/

🎧 Listen on Spotify, Apple Podcasts, Amazon Music and YouTube
Spotify: https://open.spotify.com/show/033v5JDoHlCbQsHWqV6YKA
Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-meets-medtech/id1896898150

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#HealthcareAI #MedTech #DataSovereignty #OnPremAI #CloudComputing #HealthIT #PatientData #AIinHealthcare #DigitalHealth