Researchers estimate that AI could generate up to $100 billion annually across the healthcare sector by optimizing clinical trials, streamlining administrative processes, and improving diagnosis accuracy. Yet, despite the promise, scaling AI beyond pilot projects and into widespread adoption remains a significant challenge. From data silos and regulatory hurdles to integration with legacy systems and ethical concerns, the road to AI-driven transformation is complex. During the opening panel discussion key opinion leaders will discuss actionable solutions on how to move AI implementation from pilot projects to enterprise-wide implementation.

Key discussion points include:

• From Pilot to Scale: How to successfully transition AI projects from limited trials to full enterprise deployment.
• Overcoming Data Silos: Strategies for integrating AI across fragmented healthcare data ecosystems while ensuring security and compliance.
• Human + AI Collaboration: How to empower healthcare professionals with AI tools that enhance decision-making rather than replace human expertise