Healthcare organizations are generating vast amounts of data, but translating insights into actionable clinical and operational outcomes remains a challenge. This panel will explore how health systems and technology leaders are moving from AI experimentation to real-world deployment, addressing hurdles such as integration with existing workflows, ethical and regulatory considerations, and measurable impact on patient care and operational efficiency. Panelists will share their experiences implementing AI solutions, lessons learned from early adoption, and strategies to scale AI safely and effectively across diverse healthcare environments. Attendees will gain practical guidance for bridging the gap between data analytics and meaningful clinical delivery.