2026 Federate AI Executive Forum Insight Report

Advancing the Next Era of Federated Intelligence

On June 23, 2026, Rhino Federated Computing convened a select group of senior leaders for the Federate AI Executive Forum in Boston, a working session built around the practical realities of deploying federated AI at enterprise scale. The conversations covered federated learning architectures, data harmonization and FHIR compliance, confidential computing, and the emerging intersection of agentic AI with federated infrastructure. Executives and practitioners from across cloud infrastructure, life sciences, healthcare, financial services, and agriculture joined to share what’s working, what’s not, and where the field is going next. This report captures what emerged from those conversations.

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Key Takeaways

1. Federated AI has crossed from research curiosity to production infrastructure. Cloud providers, enterprises, and governments are now building for it deliberately because the data they need to learn from cannot be moved.
2. Networks compound in value. The TuneLab program at Eli Lilly, now with more than 100 partners across 11 countries, demonstrates what federated AI looks like at large scale.
3. Data harmonization and federation are most powerful in combination. The leading practitioners are using harmonization as a foundation that makes federated learning faster, more reliable, and more scalable.
4. Federated AI has reached escape velocity. After starting in life sciences and healthcare, financial services, agriculture, and industrial supply chains are taking off.
5. Agentic AI and federated AI are converging. The next layer of value is not just learning across siloed data — it is deploying intelligent agents that can reason over it in real time, without ever moving it.

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