Why Data Governance, Security, and Infrastructure Readiness Matter More Than Ever.
Before any healthcare organization can run AI, they need the infrastructure to support it. In this episode of Health Reimagine, recorded live at HIMSS26, host Jon Myer sits down with Gerry from Cloudticity to unpack what it really takes to get cloud infrastructure ready for the future of healthcare. From technical debt and data governance to cybersecurity and the real reasons 95% of AI deployments are falling short, this is a candid conversation every healthcare IT leader needs to hear.
Cloudticity has spent 15 years helping healthcare organizations leverage the cloud securely, managing over 100 million protected health records without a single breach. Their mission is simple: help every human on earth get healthier through the work they do.
🏗️ Your cloud foundation determines your AI ceiling — old technical debt gets exponentially worse with AI workloads.
🔒 Data provenance and security are non-negotiable — healthcare is the #1 target for cyberattacks.
🎯 Small pilots beat big strategies — 95% of AI deployments fail because organizations move too fast, too broad.
⚡ AI is evolving faster than any tech in 40 years — agility and safe adoption matter more than speed.
YouTube Timeline
00:00 — Introduction — What does it take to get cloud infrastructure ready for AI in healthcare?
00:31 — About Cloudticity — 15 years helping healthcare organizations leverage the cloud
00:53 — The real state of AI adoption — personal, organizational, and clinical layers
02:23 — Why disparate technologies aren’t talking to each other — the CIO’s daily challenge
02:59 — How early cloud decisions are coming back to haunt healthcare organizations
04:19 — Technical debt and AI — how poor cloud planning gets exponentially worse with AI workloads
05:32 — The double-edged sword of cloud simplicity — easy procurement, easy overallocation
07:04 — Infrastructure walls healthcare organizations are hitting as they race to adopt AI
08:25 — The people problem — skills gaps, talent scarcity, and HR strain from AI adoption
09:08 — Data provenance and attribution — why non-deterministic AI is risky in clinical settings 1
0:38 — Patient safety and accountability — who is responsible when AI gets it wrong?
11:12 — How Cloudticity approaches data governance from day one of cloud adoption
12:13 — What customer success looks like — it always starts and ends with the patient
13:20 — Cloudticity’s security record — 100M+ protected health records, zero breaches
14:53 — Why 86% of health organizations will be breached — the value of health data to bad actors
16:14 — The #1 mistake organizations make with AI — trying to boil the ocean
17:34 — Ambient rooms, AI scribes, and augmented reality — exciting but risky without a plan
19:29 — Where is AI in healthcare headed?
20:50 — Closing — Visit cloudicity.com to learn more
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