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Predictive Machine Learning Algorithm Forecasts Potential Water Main Breaks
Nobel Systems has developed a new Predictive Machine Learning algorithm that enables water utilities to forecast the likelihood of pipe leaks and system failures. The breakthrough algorithm allows...
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Nobel CTO Aretha Samuel Talks AI and Smart Utility Management
Aretha Samuel CTO Nobel Systems In an interview with Water Online, Nobel Systems Chief Technology Officer Aretha Samuel and Business Development Executive Todd Lushinksy talk about using AI, machine...
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Fixing the Nation’s Aging Water Infrastructure with Data-Driven Technology
The failing state of the nations’ water infrastructure has been brought to light in recent headline news with costly water main ruptures and the resulting water loss and damages. The worrisome state of...
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Nobel Systems’ GeoViewer Now Works with Siri
Nobel Systems announces the latest version of GeoViewer now works with Apple’s IOS Siri voice assistant. Operations management workers can input voice commands and queries to GeoViewer using Siri. The...
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92 Percent Accurate Pipeline Assessment Using Artificial Intelligence and IoT
Traditionally, water utility districts managed underground infrastructure on a haphazard basis. Managers relied on visual occurrences and reports from the public about problems and sent field crew to...
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How Digital Twin Technology Helps Utilities Avoid Critical Mistakes
Today, with advancements in technology, it is vital for utilities to manage operations in real-time. In addition, it is critical to monitor assets and operations to prevent problems before they happen,...
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