AI is now seen at the center of fixing wide variety of problems in the healthcare cutting across clinical, operations, finance and administration areas. But its potential hinges on one critical enabler:- interoperability. Without seamless access to clean, timely, and standardized data, even the most advanced algorithms will fail. For AI to be actionable, scalable, and trustworthy, health systems must first solve the foundational challenge of interoperability. This exciting expert panel will explore the critical relationship between data liquidity and AI performance. It will unpack why interoperability isn’t just a compliance goal, but a strategic enabler of AI and why CIOs must treat it as a first priority in their digital transformation agenda. Learning objectives: --------------------------------------------------- - Understand foundational role of interoperability in aligning, enabling the enterprise AI strategy. - Key interoperability challenges that prevents health systems from using, deploying and scaling AI tools. - Learn what kind of data quality and availability gaps most commonly undermine AI initiatives. - How to leverage FHIR and TEFCA to enable real-time data exchange for AI algorithms - How CIOs, CDO’s, CDAO’s can lead cross-functional teams in orchestrating AI-interoperability initiatives - Governance models and compliance to ensure safe, equitable, and compliant use of AI.