What states accept predictive modeling for inventory development?

Confirming service line materials throughout an entire system requires field veri­fi­ca­tion programs, which take time and resources to complete. However, predictive modeling focuses leveraging information collected in the field  to understand  patterns for the rest of the system and predict the material of unknown services.

To have an accurate and reliable model, you need a solid team: water system engineers, GIS pros, data scientists, and computer scientists create an all-star predictive modeling lineup. Trinnex’s leadCAST Predict has assembled a team to help water systems accelerate the clas­si­fi­ca­tion of unknown service lines and prioritize field veri­fi­ca­tions through advanced material predictions powered by machine learning and other predictive modeling methods.

Predictive modeling is ever-evolving, and some state authorities have provided guidelines allowing its use to accelerate the inventory process.

Trinnex and CDM Smith are in discussions with the EPA and state regulatory agencies across the country to share best practices and provide education around predictive modeling for service line inventory development. If you are not sure whether your state will accept predictive modeling, reach out to us! If we haven't already, we'd be happy to engage with your state regulatory agency.

Alabama
Arkansas
California
Colorado
Connecticut 
Delaware
Florida
Georgia
Illinois
Indiana
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Montana
Nevada
New Hampshire
New Jersey
New York
North Carolina 
North Dakota
Ohio
Oklahoma 
Oregon
Penn­syl­va­nia
South Carolina 
Tennessee
Utah
Virginia
Washington

Arizona
Missouri
New Mexico 
Texas

Alaska
Hawaii
Idaho
Iowa
Minnesota
Mississippi
Nebraska
Rhode Island
South Dakota
Vermont
West Virginia 
Wisconsin
Wyoming