Every healthcare organization wants an AI strategy. But before AI can actually deliver, the cloud infrastructure underneath it needs to be sound — and for most organizations, it isn’t.In this episode of Health Reimagined, host Jon Myer (Myer Media) sits down with Gerry from Cloudticity — a healthcare-focused cloud managed services company with 15 years of experience and zero breaches across more than 100 million protected health records under management.Gerry breaks down the real state of AI adoption in healthcare, why the technical debt built up during the cloud rush of the last decade is now an AI liability, and why 95% of AI deployments are failing to produce meaningful returns.🔗 Learn more at cloudticity.com☁️ Cloud technical debt is now an AI problem — organizations that rushed cloud adoption without governance, data tagging, or cost optimization are facing exponentially bigger challenges as AI demands more storage, GPU, and data provenance than anything that came before🔒 86% of health organizations will be breached — healthcare is the number one target for cyberattacks because health records contain the most complete personal identity data available, and ransomware pressure is immediate because patient lives depend on system availability📊 95% of AI deployments are failing to produce meaningful returns — because organizations are trying to boil the ocean instead of defining constrained use cases with measurable outcomes and training users before scaling🧠 Data provenance and attribution are the unsolved problems at the heart of clinical AI — when an LLM gives a clinician the wrong answer and a patient is harmed, who is responsible if you cannot trace where the AI got its information?⏱️ YouTube Timeline0:00 — Introduction — You need the foundation before you can run AI0:29 — Meet Gerry from Cloudticity — 15 years helping healthcare leverage cloud0:53 — The real state of AI adoption across healthcare — three distinct levels1:51 — Personal AI organizational AI and clinical AI — why they rarely talk to each other2:59 — How the cloud rush of the last decade created technical debt that is now an AI liability4:19 — Cloud is a double-edged sword — procurement is easy but governance is hard7:04 — The wall healthcare organizations are hitting with cloud infrastructure and AI7:14 — Physical constraints — GPU shortages RAM limits and the skills gap9:08 — Data provenance and attribution — the thorniest problems in clinical AI10:18 — If AI gives a clinician the wrong answer and a patient is harmed who is responsible11:12 — How Cloudticity builds data governance from the moment of cloud adoption12:17 — Customer success always starts with the patient and works backwards13:20 — 15 years zero breaches and 100 million protected health records under management15:00 — Why healthcare is the number one cyberattack target — ransomware and identity theft16:20 — The one thing most organizations are getting wrong — trying to boil the ocean17:34 — Ambient rooms are every CIO’s dream but without measurement and training they fail19:29 — Where AI and healthcare is heading — faster than any technology in 40 years