Healthcare CDAOs and CIOs face a paradox in 2026. AI tools have never been more powerful, more abundant, more accessible yet 95% of enterprise GenAI pilots fail to reach production. The bottleneck isn't ambition or compute. It's the engineering work between a model and an outcome clean FHIR data, validated pipelines, MLOps, governance, integration, monitoring and trust.

In other words: AI got fast. Data didn't.

This ScaleHealthTech Live TechTalk brings together four of healthcare's most respected data and AI leaders for a candid, peer-level conversation about closing that gap. Not the keynote version the real one. What's working inside their systems, what isn't, where the foundations are still being poured, and what they would do differently if they were starting over tomorrow.

From Penn Medicine to Piedmont to Franciscan to Wellstar, four leaders join Vishnu Saxena to unpack what enterprise AI really requires — the data, the governance, the trust — and how to turn models into measurable clinical, financial, and operational outcomes.

If you're a CIO, CDO, or CDAO tired of AI panels that stay 30,000 feet up, this is the conversation you've been waiting for.

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