On stage at DocCheck's Breaking Med event in Berlin, I made an argument that split the room: healthcare providers should open up their…

Hyperadvancer

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On stage at DocCheck's Breaking Med event in Berlin, I made an argument that split the room: healthcare providers should open up their internal tools and hand them to the front line. Not as a generosity play, but because it's the fastest way to learn. Two signals just landed on the side I was arguing. The first: Satya Nadella's June essay drew 28 million views. His test is sharp. You should be able to swap out a generalist model without losing the "company veteran" expertise baked into your system. If pulling the model erases what made you valuable, you didn't own anything; you were renting someone else's brain. The moat isn't the model. It's the learning loop your people and tools keep teaching each other. The second: Banco Santander open-sourced its AI-governance toolkit. Eleven repositories under Apache-2.0. A bank handed its control layer to its competitors. The customer data stays private; the machinery is now public. Why? Speed. Banks spent years governing AI behind closed doors and shipped almost nothing. Christian Catalini sharpens the argument further: the real moat isn't even the learning loop, it's the verification underneath it. Your ability to judge, approve, and stand behind a result better than anyone else. Open the wrong layer and you hand over the very judgement you were trying to protect. In healthcare the move is narrower than "open everything". Open the tooling and the workflow. Keep the verification, the clinical judgement, the human who signs off, firmly in your own hands. What's the one internal tool you've been guarding? #AIStrategy #OpenInnovation #HealthcareAI #AILearning #DigitalHealth

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