Attendees joined Google Public Sector and Presidio to see how predictive analytics and smart data collection can detect and track anomalies for a major metropolitan rail system. You'll learn how commodity hardware paired with Google Public Sector's AI/ML technology is reimagining track inspection to enhance safety and prevent costly delays.

During this session, we covered :

• The Challenge: How Google Public Sector and Presidio partnered to tackle the complex problem of predictive rail maintenance for a major metropolitan subway.

• The Innovative Solution: Learn how commodity smartphones were transformed into an advanced, train-mounted sensor network for smart data collection.

• The Technology: A demo of the TrackInspect application, along with details showcasing how Google Public Sector's AI/ML models analyze sensor data to detect track anomalies in near real-time, along with pairing Generative AI with maintenance manuals can enhance the Track Inspector’s.

• The Results: Real-world outcomes from the project, including 92% defect detection recall, enhanced safety for workers, and significant potential cost savings.