Mentioned in 16 AI use cases across 4 industries
The utility used AI to watch hundreds of thousands of smart meters, spot missing or suspicious readings, and send teams to fix leaks, backflows, and unmapped consuming meters before revenue is lost.
The platform looks through huge amounts of smart meter data to spot leaks, backflows, or suspicious patterns so utilities can stop losing money and respond faster.
Use software to decide when pumps, storage tanks, and treatment assets should run so a city still gets water but uses less energy.
Sensors watch water pressure in the network and a controller tells pumps to speed up or slow down so the system uses only the pressure needed at that moment.
Engineers checked how three old pumps were using power, identified that newer pumps would do the same job with less electricity, and recommended replacing them to cut energy bills and emissions.
Sensors watch water pressure in the network and a control system continuously tells pumps how hard to work, so customers get enough water without wasting electricity or over-pressurizing pipes.
It watches how pumps are running, spots waste or early problems, and tells operators how to run them better.
An intelligent monitoring setup watches all major reservoirs together every day and helps operators decide when to tighten water-saving actions, like reducing nighttime network pressure, before shortages get worse.
While fixing the pumping station, the team kept water moving with temporary power and backup pumping so nothing overflowed during the work.
Sensors watch water pressure in the network and a controller tells pumps to slow down or speed up so customers still get water without over-pressurizing the pipes.