In an interview with Water Online, Nobel Systems Chief Technology Officer Aretha Samuel and Business Development Executive Todd Lushinksy talk about using AI, machine learning, and IoT in water utility management.
Despite the strides in technology, many water utilities still require their technicians to come into the office to collect a stack of work orders. Not only does this create a massive inefficiency, but it’s also symptomatic of an archaic system in which the back-office functions and operations staff are disconnected.
In this Water Talk interview, Todd Lushinsky, a business development executive with Nobel Systems, and Aretha Samuel, CTO of Nobel Systems, discuss newer technology that brings multiple areas of responsibility — such as billing, customer service, GIS, and monitoring — together for vastly improved overall management.
Samuel explains how Nobel’s new machine-learning algorithm predicts the likelihood of pipe ruptures and system failures.
Click the play button above to listen.
[bctt tweet=”Listen to Nobel CTO Aretha Samuel talk about using AI and machine learning to predict water main breaks. #watermanagement #AI #machinelearning” username=”nobelsystems”]