Universities are piloting advanced operations tech to cut costs and improve uptime. Facilities teams are exploring digital twins—virtual replicas of campus buildings powered by IoT sensors and machine learning—to enable predictive maintenance, reduce energy use and extend asset life cycles. Vendors and campus planners say digital twins can consolidate disparate building systems into actionable dashboards that reduce reactive repairs and lower long‑term maintenance spend. Athletics departments are also adding AI and sensor data to optimize training and injury prevention. Teams feed biomechanics, strength and workload metrics into AI models to flag risk and tailor workouts. Administrators position these investments as both performance tools and student‑athlete safety measures, though they caution about data governance and privacy as sensor use grows.