machine learning
Tech Perspectives: Equipping Water Utilities for the AI Era
By Marina Donovan Global water demand is expected to rise significantly over the next 20 years, driven by population growth,…
AI in Utility Construction: Opportunities, Challenges for Water
By Eric Bindler In the year and a half since OpenAI’s November 2022 launch of ChatGPT, conversations have been taking…
Up in the Clouds: Leveraging New Advancements in AI for Aging Infrastructure
By Chris Dermody, Raja Kadiyala & Ravi Vennelakanti The challenges related to managing sewer collection systems are well understood. These…
Engage the Defect Radar! Space Age AI Technology in Our Underground Sewer Networks
By Greg Baird In the 1998 blockbuster movie, “Armageddon,” when two advanced space shuttles slingshot around the moon at 22,500…
Citylitics launches AI platform for predictive infrastructure
WatrHub Inc., a North American data company with offices in Toronto, Milwaukee and Austin, has announced an expansion into the public infrastructure industry, with…
Industry 4.0 & the Water Sector
By Doug Hatler The first three industrial revolutions transformed our modern society with mechanization, mass production and digital technology. The…
Calculating Business Risk Exposure Using Machine Learning
By Doug Hatler & Matti Kakkori Aging drinking water mains are facing an increasing number of failures leading to service…
Capturing Condition Assessment Cost Savings
Can Machine Learning Really Provide A Cost-Effective Desktop Analysis? By Greg Baird Artificial Intelligence, specifically machine learning, is poised to…
Suez partners with Fracta on pipe asset management program
SUEZ North America has entered into a managed partnership agreement with Fracta, a company specializing in applying machine learning to assess aging…
GASB 34 Reporting of the Value of Buried Infrastructure
Using Artificial Intelligence and Machine Learning to Assess and Monetize the Condition of Water Mains By Doug Hatler & Greg…
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