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From Unknown to Known: How to use predictive modeling to classify unknown service line materials

Keeping service lines classified as “unknown” materials in your inventory increases LCRI compliance requirements and can create serious challenges for LSL replacement planning and customer trust.

This webinar will focus on how water systems and engineering firms can use predictive modeling to classify service lines with unknown materials in their inventory quickly, with high accuracy and minimal digging.

During the webinar, BlueConduit experts will talk through the process and tools needed to classify service line materials based on statistical models. Then, leaders from Des Moines, IA will talk about how they used predictive modeling to reduce their unknowns by more than 70%.

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Speakers

Abay Israel

Director of Product, BlueConduit

Abay leads BlueConduit’s product strategy and development, driving innovation and aligning product initiatives with the needs of our customers. With over a decade of experience in product management across social science research, finance, and software, he brings a deep understanding of data management and user-centric solutions. Abay works closely with the engineering, data science, customer success, and sales teams to deliver tools that empower communities and drive informed decision-making.

Kristy McGrath

VP of Sales, BlueConduit

Kristy leads BlueConduit’s sales team and go-to-market strategy, aligning sales and business development efforts with BlueConduit’s business goals and initiatives. Kristy also works very closely with the Customer Success, Project Delivery and Policy teams. She has more than 15 years of combined sales and account management experience in the public sector, IT and infrastructure asset management space.

Jenny Puffer

Director of Water Distribution, DMWW

Jenny has been with Des Moines Water Works for more than 20 years, serving as the Director of Water Distribution for the past seven years.

Alice Berners-Lee

VP of Data Science, BlueConduit

Alice is BlueConduit’s VP of Data Science. She has over a decade of experience in science and data science, completing PhD work at Johns Hopkins University and UC Berkeley and postdoctoral work at Harvard University. At BlueConduit, she and her team build machine learning models to help communities remove potential harms, like lead pipes, in their infrastructure.

Trusted By
Testimonials
 “There were a few options when we embarked on this, but only BlueConduit was able to prove that their method worked and published it. That was big for us.  But it was also working with them that was just better. They were very upfront about cost and what to expect. We didn’t always feel that way with the other companies that we did trials with.”

Michelle Smith

Director of Water Quality for the South Bend Utilities | South Bend, IN