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Committee approves Vanderbilt-Metro pilot to use AI on water system data to detect anomalies
Summary
The Transportation Infrastructure Committee voted 9-0 to recommend approval of a pilot project with Vanderbilt University and Metro Water Services to apply anomaly‑detection tools to existing water system data as an early warning detection system for valves, leaks and other operational anomalies.
The committee recommended approval, 9-0, of BL 2025-912, a pilot agreement between Vanderbilt University and the Metropolitan Government of Nashville and Davidson County, acting through Metro Water Services, to test early‑warning anomaly detection tools for the water management system.
Why it matters: The pilot seeks to analyze pressure, flow and work‑order data already collected by the…
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