Post Tagged with: "machine learning"

By Marina Donovan Global water demand is expected to rise significantly over the next 20 years, driven by population growth, agricultural practices and industrial development, as noted by the Office of the Director of National Intelligence. By 2050, water use is projected to increase byRead More

By Eric Bindler In the year and a half since OpenAI’s November 2022 launch of ChatGPT, conversations have been taking place across a wide range of industries and economic sectors about the potential impacts of artificial intelligence (AI) — from the positive (e.g., enhanced efficiency,Read More

By Chris Dermody, Raja Kadiyala & Ravi Vennelakanti The challenges related to managing sewer collection systems are well understood. These include an ever-growing quantity of sewer inspection videos needing to be assessed and acted upon each year. In the total lifespan of this inspection dataRead More

By Greg Baird In the 1998 blockbuster movie, “Armageddon,” when two advanced space shuttles slingshot around the moon at 22,500 miles per hours to land on the global killer asteroid, the pilots see the asteroids debris field and using the FOD (foreign object debris) radar,Read More

WatrHub Inc., a North American data company with offices in Toronto, Milwaukee and Austin, has announced an expansion into the public infrastructure industry, with its initial focus on water infrastructure. The advancement prompted a brand refresh to Citylitics Inc. to better serve public infrastructure industries. Founded in 2012, WatrHub wasRead More

By Doug Hatler The first three industrial revolutions transformed our modern society with mechanization, mass production and digital technology. The world around us fundamentally changed. The fourth industrial revolution is now upon us. Industry 4.0, as it is called, will transform modern society and economiesRead More

By Doug Hatler & Matti Kakkori Aging drinking water mains are facing an increasing number of failures leading to service interruptions, higher operating costs and non-revenue water loss. Some failures cause much bigger financial or socioeconomic impacts than others. A 2018 study led by Dr.Read More

Can Machine Learning Really Provide A Cost-Effective Desktop Analysis? By Greg Baird Artificial Intelligence, specifically machine learning, is poised to make a significant impact in underground water infrastructure asset management. Not only does machine learning drive performance optimization, it also increases efficiencies in business processesRead More

SUEZ North America has entered into a managed partnership agreement with Fracta, a company specializing in applying machine learning to assess aging water infrastructure. The partnership will enable SUEZ to incorporate artificial intelligence (AI)-based condition and risk assessment technology into the delivery of its pipe asset managementRead More

Using Artificial Intelligence and Machine Learning to Assess and Monetize the Condition of Water Mains By Doug Hatler & Greg Baird Asset Management practices combined with the latest condition assessment tools using artificial intelligence, specifically machine learning, to assess the condition of buried water mainsRead More