Benzie bus on a flat landscape by the water

Tech Talks

September 15, 2026, 10 a.m. – 11 a.m. EST

Transit leadership often faces the challenge of answering critical operational questions using data trapped across incompatible vendor systems. This presentation by John Maglio of ETA Transit explores how an AI-powered Transit Operating System unifies disparate data streams—such as CAD/AVL, maintenance, and scheduling—into immediate, actionable insights. Attendees will see how asking plain-English questions replaces poring through endless reports, while providing a framework for predictive AI to spot anomalies and recommend actions before minor issues turn into major service disruptions.

October 15, 2026, 2 -3 p.m. EST

Your vehicles are trying to tell you something. A change in sound may be an early sign that maintenance is needed or that something is not working quite right. With AI Mechanic, technology can help you “hear” what a vehicle is saying using something as simple as the smartphone already in your pocket. Developed at Michigan State University, AI Mechanic uses vehicle acoustics and artificial intelligence to identify operating conditions and detect changes that may indicate developing problems. Learn how the technology works, how it could support more proactive and cost-effective fleet maintenance, and how your agency can help improve and evaluate the tool using real-world vehicle and maintenance data.

November 19, 2026, 1 – 2 p.m. EST

Seniors and people with disabilities in Contra Costa County, Calif., face a complex accessible transportation landscape — over 24 providers offering paratransit, volunteer driver programs, senior shuttles, and rideshare-based services, each with different eligibility rules and booking processes. OPTIMAT, a custom-built data platform developed by Contra Costa Transportation Authority and UC Berkeley PATH through a USDOT SMART Grant to address this challenge. OPTIMAT aggregates real-time service information from all county providers and uses a conversational AI-assisted interface to return personalized, eligibility-matched transportation options for any trip request.

This session will cover how OPTIMAT was built, how the platform works, lessons learned from data integration and testing, and what responsible deployment of AI-assisted tools looks like for vulnerable populations. The team will also discuss the path from prototype to community-facing service and the role of human navigators in validating and supporting the technology.

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