Manchester, NH – Trinnex, a leader in digital water solutions, is excited to announce an integration of its advanced predictive modeling tool, leadCAST Predict, with Esri ArcGIS, the world’s leading geographic information system (GIS) software. This high-impact development aims to streamline lead service line management and enhance compliance with the EPA’s Lead and Copper Rule Revisions (LCRR) and Lead and Copper Rule Improvements (LCRI).
Unlocking predictive modeling in a familiar environment
The integration of leadCAST Predict with Esri ArcGIS brings together the power of machine learning and GIS to provide utilities with a comprehensive solution for managing lead service lines. Key features of this integration include:
- Advanced Predictive Modeling: leadCAST Predict utilizes machine learning algorithms to accurately classify unknown service lines, reducing the need for costly physical verifications.
- Integrating with Specialized ArcGIS Capabilities: leadCAST Predict seamlessly integrates with Esri’s ArcGIS Lead Service Line Inventory (LSLI) solution to allow utilities to fully leverage the suite of Esri LSLI tools and Trinnex’s predictive model using a central dataset.
- Streamlined Workflows for Community Safety and Compliance: leadCAST Predict updates the LSLI datasets with recommended inspections including verified and predicted materials along with supporting statistical information needed for state requirements.
Bringing together expertise
“We are thrilled to integrate leadCAST Predict with Esri ArcGIS, combining our expertise in predictive modeling with the powerful GIS capabilities of Esri,” said Mark Zito, VP of Product Management at Trinnex. “This integration will empower utilities to manage their lead service line programs more effectively and ensure compliance with the LCRR/LCRI.”
Katie Deheer, Data Science Lead at Trinnex, added, “Our machine learning models have been developed with over 1,000 hours of testing and collaboration with water domain experts, customers, and world-class data scientists. We’ve saved our customers countless hours and millions of dollars that would have been spent on costly manual field inspections. This integration with Esri ArcGIS will further increase access to our highly accurate and efficient predictive modeling tool.”
Conclusion
The integration of leadCAST Predict with Esri ArcGIS marks a significant milestone in the digital water space. By combining advanced predictive modeling with robust GIS capabilities, Trinnex is committed to helping utilities achieve their lead service line management goals and protect public health.
For more information about leadCAST Predict visit https://www.trinnex.io/products/leadcast/leadcast-predict.
About Trinnex
Trinnex helps infrastructure leaders advance their digital journey through proven processes, software tools, and consulting partnership. Our team has decades of domain knowledge, data-science expertise, and technical software excellence. We positively impact public health by removing lead in drinking water, limiting sewerage pollution, providing streamlined water quality compliance, and simplifying utility operations.
Contact
Jonathon J. Nelson
Head of Marketing, Trinnex
Email: Jonathon.Nelson@trinnex.io
Website: www.trinnex.io
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