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Artificial intelligence is rapidly moving from pilot projects into the clinical and operational environments where care is delivered. From medical imaging and clinical documentation to predictive analytics, virtual care, and real-time patient monitoring, healthcare organizations are accelerating AI adoption to improve outcomes, increase efficiency, and address workforce challenges. Yet many health systems are trying to support these workloads on infrastructure that was never designed for high-density computing, distributed AI, or mission-critical digital operations.
This executive roundtable will bring together healthcare IT and business leaders to discuss how organizations can build a secure, resilient, and scalable foundation for AI. Participants will explore the infrastructure challenges facing hospitals today, including aging facilities, rising cybersecurity risks, increasing power and cooling demands, limited operational visibility, and the need to support AI closer to the point of care.
Attendees will gain practical insights into assessing AI readiness, modernizing critical infrastructure, supporting distributed and edge-based AI workloads, and creating a roadmap that balances innovation, risk, operational efficiency, and continuity of care. The discussion will focus on the strategies healthcare organizations are using to move beyond AI experimentation and scale AI securely and effectively across the enterprise.
