California’s prolonged drought conditions threaten the availability of water and the integrity of infrastructure that distributes it. Efficient use of water supply is a major priority for most water utility leaders, as is reducing the near 84 billion gallons of water lost from systems every year through emergency breaks, enough to flood 191,000 football fields one foot deep*. But often the cost of repairs outstrips the cost of lost water in California, making financial viability a challenge. That’s why proactive network management is starting to gain pace among forward-thinking leaders as they look at new ways to predict the risk of potential failure in the network and get ahead of repairs and upgrades before problems start.

Water executives at San Jose Water, MWD South Carolina, Epcor and many others are turning to precision geospatial AI to help them monitor buried assets and accurately determine the top 20% risks. This means they can predict and resolve leakage before it happens, cutting water loss by up to 55%, saving a third in repair costs, and justifying capital improvement and network expansion investment with new conviction. And they’re achieving upwards of a 1.5x RoI within as little as 6 months.

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