̽»¨ÊÓÆµ, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.
Join 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.
In this session, we will cover:
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.