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Machine learning

The Northeast’s Toughest Water Infrastructure Challenges

Utility leaders in the Northeast U.S. manage some of the most complex water and wastewater systems in the country: dense,...
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Top Questions Utilities Are Asking About AI for Risk Prediction (Part 1)
Data, Accuracy, and Integration 

As a decision-maker in the water utility sector, you manage high-stakes responsibilities: keeping assets reliable, protecting public safety, and making...
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The true Return on Investment of AI-driven Risk Prediction

In 2026, most utilities are no longer asking whether AI can predict pipe failures. Machine learning models are now able...
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Common Concerns About
AI Risk Predictions

The real risks behind AI prediction – and the misconceptions that hold teams back...
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Texas Approves Predictive Modeling for LCRI Compliance

Texas Approves Predictive Modeling for LCRI Compliance

Learn what the new Texas ruling means for utilities, and how to reduce lead unknowns before the 2027 deadline....
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AI’s Role in Water Utilities: How to Overcome Common Concerns and Get Started

AI’s Role in Water Utilities: How to Overcome Common Concerns and Get Started

Discover AI’s practical role in water utilities, from failure prediction to smarter capital planning. A guide to starting strong and...
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The 5 Most Common Risk Prediction Methods for Water Utilities–And How They Compare?

The 5 Most Common Risk Prediction Methods for Water Utilities–And How They Compare?

Learn how water utilities predict pipe failures. This article compares five widely used methods, highlighting their advantages, drawbacks, and best...
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Machine Learning, a New Best Practice for Risk Prediction

Machine Learning, a New Best Practice for Risk Prediction

Learn how AI helps water utilities detect patterns that traditional risk models miss; cutting failures, prioritizing repairs, and protecting limited...
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