Healthcare data has outgrown the systems built to manage it. Records, imaging, claims, research, and operational data now sprawl across clouds, vendors, and legacy platforms faster than most health systems can govern them. The result is a quiet, widening gap: most organizations can restore their systems after an incident, but far fewer can prove their data is clean, governed, and recoverable when it matters most.

That gap is no longer an IT problem. It shapes cyber resilience, regulatory exposure, and whether a health system is genuinely ready to put AI to work, because AI readiness is not a question of data volume. It is a question of data trust, and the gap is often wider than the board believes.

This is a closed-door, peer-level conversation for healthcare executives working through that reality. Over an evening, leaders examine the three pillars that increasingly define data strategy, data foundation, governance, and cyber recovery, and the harder question of how to sequence them under real constraints.

The discussion is candid and confidential: no slides, no recording, no attribution. Perspectives from AWS and RapidScale ground the conversation in what is working in the market today, but the value sits with the room.