The power of prioritization: A smarter way to get the lead out
Prioritizing lead service line (LSL) replacements is key to protecting public health, optimizing resources, and maintaining compliance. Learn how data-driven strategies can help utilities make smarter, more impactful decisions. Get started with best practices and the right tools today.
Building a robust dataset: The foundation of a successful LSL replacement program
A robust dataset is the backbone of an effective lead service line (LSL) replacement program. In this post, you will learn what data is needed and how robust data sets you up for success in lead service line replacement planning.
A smarter approach to LSL replacements: Best practices you need to know
Overwhelmed by lead service line replacements? Our guide, Best Practices for Lead Service Line Replacements, simplifies the process with expert insights on data management, risk prioritization, and compliance. Get started with a smarter, data-driven approach today.
Beyond predictions: BlueConduit’s optimized approach to LSL replacement
LSL replacement is more than just predictions—it’s about strategic optimization. Discover how BlueConduit’s data-driven approach helps water systems prioritize lead service line replacements efficiently, equitably, and in full compliance with LCRI.
How software transforms unknown management for lead service lines
Discover how software is transforming unknown management for lead service lines. Learn how predictive modeling and AI help water systems efficiently classify unknowns, ensure regulatory compliance, and plan for lead service line replacement.
Is Texas’ water infrastructure on the brink? Why proactive management is key
Texas’ water infrastructure is aging and strained, requiring a projected $154 billion investment to meet growing demands and prevent significant economic losses. Learn about the challenges facing Texas water infrastructure and why BlueConduit’s platform is the best option for proactive water management and a more resilient water future.
Can a water system use predictive modeling when there are no known lead pipes in the system?
Editor’s note: BlueConduit recently hosted a webinar around the process of using predictive modeling to classify unknown service lines. In this series, we detail some of the questions we received. The short answer is, no and it depends. Let’s explore what matters. There are a lot of terms out there – predictive modeling, statistical analysis, […]
Thresholds vs confidence levels: What are the key differences?
Explore confidence intervals and thresholds to understand what each term means, where they apply, and why they matter in predictive modeling for service line classification. Learn how BlueConduit ensures accuracy and defensible decisions in identifying lead service lines.
Des Moines, Iowa: A case study in using predictive modeling to classify unknown service lines
Discover how Des Moines Water Works used predictive modeling to classify unknown service lines, reducing uncertainty by 75% in just six months. Read the case study to learn how data-driven insights optimized their LSL inventory.
Can I use a standard threshold to classify service line materials as lead or non-lead?
We often get asked “Can I use a standard thresholds to classify service line materials as lead or non-lead?” The simple answer is no (unless you operate in a state like North Carolina or Massachusetts that sets standard thresholds in regulatory guidance). Let’s explore why.
How predictive modeling is used to classify service line materials
Predictive modeling helps water systems classify service line materials as lead or non-lead with minimal digging. But how does it work, exactly? In the infographic below, BlueConduit’s expert team breaks down the process from unknown to classification of pipe materials using predictive modeling using these 6 steps: Step 1:Â Identify and quantify your unknowns Step 2:Â Collect […]
BlueConduit featured in The Water Report: Managing unknown service lines for LCRI compliance
Discover how predictive modeling helps utilities manage unknown service lines for LCRI compliance. BlueConduit’s COO, Ian Robinson, shares insights in The Water Report on reducing compliance burdens and streamlining service line inventories.
Water Finance & Management highlights BlueConduit’s data-driven approach to LSL replacement
Thank you to Water Finance & Management for featuring BlueConduit in their Water Innovation of the Month series! Read the full post here. The new Lead and Copper Rule Improvements (LCRI) mandates lead service line (LSL) replacement within 10 years. But did you know that the current $15B Bipartisan Infrastructure Law (BIL) allocation for lead […]
LCRI replacement plans: The importance of unknown management and replacement prioritization
BlueConduit’s LSL Predictions and new LSL Replacements tools focus on unknown management and LSL replacement prioritization, respectively. This article explores the value of and requirements for unknown management and replacement prioritization in the context of Lead and Copper Rule Improvements (LCRI) compliance and beyond.
Why predictive modeling is the best way to quickly reduce unknowns
If you have service lines of unknown material in your inventory, there are many reasons to choose predictive modeling to classify these unknown lines: Compliance, feasibility, time and effort are just a few. In this blog post, we’ll highlight the value of predictive modeling to quickly and efficiently reduce the unknowns in your inventory.Â
How to evaluate a predictive modeling solution for water mains
Using AI predictive modeling solutions can save water utilities billions of dollars. Predictive modeling for water mains identifies the likelihood of failure for every main, which helps assess risk and enable proactive maintenance and replacement. This article explores the 3 core needs to consider when selecting a predictive modeling solution like BlueConduit for water infrastructure management: the modeling approach, prediction accuracy and explainability, and integration with your everyday tools and processes.
America’s next water crisis? A lack of experienced workers
BlueConduit’s products empower water systems with accurate predictions, decision support, actionable recommendations, and automation—driving greater efficiency and effectiveness. As the industry faces the challenges of the “gray tsunami,” our solutions provide the insights and tools needed to navigate workforce transitions and maintain reliable operations. This blog highlights how climate change and aging infrastructure already threaten […]
Using predictive modeling to meet state LCRI compliance requirements
Discover how predictive modeling helps water systems meet state-specific LCRI compliance requirements. Learn how states like Massachusetts, North Carolina, and Ohio approach classification thresholds for lead service lines and how BlueConduit supports utilities in making defensible, data-driven decisions
BlueConduit launches LSL Replacements tool to streamline lead service line replacement planning
New Esri-integrated software enables data-driven prioritization, planning, and tracking in compliance with the Lead and Copper Rule Improvements (LCRI)
Clustering LSLs to identify priority locations for replacement
What is data clustering and why is it important for LSL replacements? Learn more about why grouping data into larger locations is important for lead pipe replacement and how BlueConduit’s new LSL Replacements tool can help.
Proactive maintenance for small diameter water mains: What you need to know
Learn why a proactive management approach matters for small diameter water mains and how predictive modeling can help identify those small diameter mains that are most likely to fail. This article highlights BlueConduit’s Water Main Predictions software and the Mobile Area Water and Sewer System’s (MAWSS) work to proactively manage small diameter water mains.
How do predictions influence a service line’s material classification?
What does it mean to use predictive modeling to classify lines in your service inventory as lead lines or non-lead? We review the process behind generating predictions from your data and what it means for you.
Prioritizing LSL replacement: How BlueConduit’s new product helps
Learn why data-driven replacement prioritization matters when it comes to lead service lines and how BlueConduit’s new LSL Replacements tool manages prioritization.
Planning for LSL replacements: An interview with BlueConduit CEO, Lorne Groe
Learn from BlueConduit CEO, Lorne Groe, about the LSL Replacements tool for optimizing lead service line replacements to maximize public health outcomes, economic efficiency, and other local needs.
Managing water infrastructure risk in Alabama
Did you know that Alabama’s drinking water infrastructure got a grade of C- on the most recent Report Card for Alabama’s Infrastructure? This 2022 report card provides clear and specific recommendations for improving the C- grade for drinking water, including: “Provide resources for infrastructure asset mapping…computerized preventative maintenance and asset management planning, and long-range strategic […]
23 Colorado cities need to replace at least 20,000 lead pipes that could taint drinking water — Fresh Water News
Lead service line replacements are a pressing issue for the water industry, as aging infrastructure continues to pose risks to public health. This blog highlights the challenges faced by Colorado cities as they work to identify and replace lead pipes, underscoring the importance of proactive efforts to ensure safe, clean drinking water for all. Read […]
How to create a public-facing map in Esri
BlueConduit and Pennsylvania: By the numbers
This post outlines some quick numbers for water utilities in Pennsylvania and why BlueConduit is the best partner to help PA water systems and engineering firms replace their lead service lines (LSLs).
Pennsylvania’s Service Line Inventory Guidance for Predictive Modeling
Why your service line inventory isn’t done
Water systems across the US submitted their inventories to their state regulators as part of LCRR compliance on Oct. 16, 2024, and the first “real” hurdle is over. It may feel like the finish line, but it’s actually just the first step.
