Physical inspection of water service lines is reliable and effective, but inspections can be costly, ranging between $500 - $2,000 or more per property. And the winter months can further complicate the field coordination process.
New techniques such as machine learning have been proven to help improve the hit rate of inspections, and support effective prioritization and planning. Join us as we discuss a few of our key learnings from helping other utilities understand how to prioritize field verifications, as well as a closer look at the potential for machine learning.
Key learning objectives:
- Identify a few ways to prioritize field verification
- Review examples of how other utilities conducted field verifications
- Determine if machine learning is right for you