Using Analytics to Predict Water Main Breaks

Tuesday, September 10, 2024, 4:00 pm, "Using Analytics to Predict Water Main Breaks for a Decade at Columbus DOW: Cost and Benefit of Switching to Machine Learning"

This presentation discusses the benefits drawn by the city of Columbus, OH, after a decade applying an advanced statistical model. We also evaluate the cost and benefit of switching to machine learning in terms of:

• Ease of use

• Break prediction performance

• Capacity to provide planning answers



Annie Vanrenterghem is a leading expert in the formulation and use of analytics to predict water main breaks, and in the development of optimal R&R