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Texas gives green light to predictive modeling for lead service line inventories

Predictive analytics is now an approved method for LSL inventories in Texas. Discover how this change empowers water systems to save time, reduce disruption, and improve public health outcomes.

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Get the lead out: CFPUA’s process from locating to replacement of galvanized services

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The power of prioritization: A smarter way to get the lead out

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Building a robust dataset: The foundation of a successful LSL replacement program

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A smarter approach to LSL replacements: Best practices you need to know

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Beyond predictions: BlueConduit’s optimized approach to LSL replacement

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How software transforms unknown management for lead service lines

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Is Texas’ water infrastructure on the brink? Why proactive management is key

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Can a water system use predictive modeling when there are no known lead pipes in the system?

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Thresholds vs confidence levels: What are the key differences?

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Des Moines, Iowa: A case study in using predictive modeling to classify unknown service lines

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Can I use a standard threshold to classify service line materials as lead or non-lead?

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How predictive modeling is used to classify service line materials

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BlueConduit featured in The Water Report: Managing unknown service lines for LCRI compliance

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Water Finance & Management highlights BlueConduit’s data-driven approach to LSL replacement

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LCRI replacement plans: The importance of unknown management and replacement prioritization

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Why predictive modeling is the best way to quickly reduce unknowns

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Predictive Modeling

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How to evaluate a predictive modeling solution for water mains

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America’s next water crisis? A lack of experienced workers

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Using predictive modeling to meet state LCRI compliance requirements

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BlueConduit launches LSL Replacements tool to streamline lead service line replacement planning

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Clustering LSLs to identify priority locations for replacement

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Proactive maintenance for small diameter water mains: What you need to know

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How do predictions influence a service line’s material classification?

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Prioritizing LSL replacement: How BlueConduit’s new product helps

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Planning for LSL replacements: An interview with BlueConduit CEO, Lorne Groe

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Managing water infrastructure risk in Alabama

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23 Colorado cities need to replace at least 20,000 lead pipes that could taint drinking water — Fresh Water News

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How to create a public-facing map in Esri

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BlueConduit and Pennsylvania: By the numbers

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Pennsylvania’s Service Line Inventory Guidance for Predictive Modeling

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Managing ‘unknown’ service lines in utility systems

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Why your service line inventory isn’t done

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Q&A: Using predictions to assess large diameter water main risk

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Meet the team: Charley Shamaly

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Why predictive analytics is the future of water main risk management

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Goshen, Indiana: Using statistical methods to classify unknown service lines as non-lead

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Artificial intelligence accelerates lead pipe removal in U.S. cities

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BlueConduit announces Charley Shamaly as VP of Engineering

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Lead out: water systems nationwide miss crucial deadline to identify their lead pipes

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Team voices: why we’re proud to work at BlueConduit

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2024 in review: what our partners appreciate most about BlueConduit

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Using predictive modeling for proactive water main planning in Mobile, AL

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[Webinar] Enhancing water main condition assessments with predictive modeling

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Unknown management for no and low lead: by the numbers

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How do I prioritize reclassifying the unknowns in my system?

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If you have service lines that were determined to be non-lead using statistical analysis, do you still have to pothole them?

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[Infographic] Weighted model, weighted model with regression, or predictive modeling for water mains: how do they stack up?

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[Infographic] LCRI requirements: LSL/GRR replacement plans

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[Infographic] The path to LCRI compliance: what you need to know

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The City of Bloomington utilities releases water service line inventory

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[Infographic] Ready to identify and replace all LSLs?

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What the LCRI says about unknown management

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[Webinar] What’s next: LCRI compliance and unknown management for water systems

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Weighted model, regression, or machine learning for water mains: how do they stack up?

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Predictive modeling for water main condition assessments: M77 manual guidance

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New Orleans S&WB issues plan to replace lead pipes across the city

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S&WB to begin extensive lead pipe removal program. Up first: schools and daycare centers

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A quick guide to LCRI compliance

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How increased precipitation impacts water main breaks (and how predictive modeling can help)

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LSL replacement strategy: 7 questions to jumpstart the LSL replacement planning process

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