Sponsored by: Domo | From Prediction to Action: Agentic AI for Ambulatory Care on Databricks

Healthcare organizations don’t suffer from a lack of data—they suffer from a lack of timely action. No-shows, late arrivals, and provider delays create millions in lost revenue and poor patient experiences, yet most systems stop at reporting the problem. In this session, we demonstrate how Databricks powers real-time predictive intelligence, while Domo operationalizes it through agentic AI workflows that take action. Using live appointment, patient, weather, and traffic data, AI agents continuously evaluate no-show risk and dynamically decide the next best action—triggering SMS outreach, recommending overbooking strategies, and alerting staff before disruptions occur. Attendees will see how this closed-loop system transforms static analytics into autonomous decisioning, with full governance, auditability, and human-in-the-loop validation. The result is a proactive care model that reduces no-shows, stabilizes clinic throughput, and delivers measurable ROI within weeks—not months.