Platforms & AI are reshaping healthcare (And what we can learn from that)

What happens when platform engineering meets one of the most regulated, data-heavy industries on Earth?

In this episode, Luca sits down with Mark Mangus, Princicpal Healthcare Strategist at Red Hat, to unpack how platforms and AI are colliding in healthcare, why “secure by design” has been healthcare’s reality for decades, how silos still slow innovation, and what it will take to build AI-ready, sovereignty-preserving platforms that actually scale. From CMS compliance pressure to cloud repatriation, vendor lock-in, and agentic/adversarial AI pipelines, this conversation is a practical roadmap for anyone building platforms in high-stakes environments.

🎯 Key topics:
Why healthcare is used to guardrails, but still struggles with true secure-by-design workflows
How platform engineering can break “walled garden” security and compliance bottlenecks
AI as the biggest change wave since the internet, and why platforms are the adaptation layer
Sovereignty, vendor lock-in, and why “easy button” SaaS doesn’t work for AI
What top AI performers do differently: modular “AI minions,” agentic systems, and adversarial checks
The unsexy healthcare AI revolution: real-time data translation, ETL, and legacy data value
Lessons healthcare can learn from other industries, and where healthcare is quietly leading

💬 “AI isn’t just the object you build — it’s also the subject that can drive and optimize the whole process.”