State and local transportation agencies are being asked to deliver more reliable and efficient services while managing aging infrastructure, workforce constraints, and growing demand. Artificial intelligence is helping agencies make better use of their data, enabling more proactive maintenance, smarter planning, and more responsive transit systems across cities and regions. This session will explore how state and local transportation leaders are using AI to improve operations and the rider experience. Speakers will share practical examples across areas like predictive maintenance, route optimization, and real-time system monitoring. The discussion will also focus on how agencies are integrating AI into existing systems and scaling these capabilities across complex transportation networks.