Award-Winning AI Strategy Saves Significant Water Infrastructure Costs

Project Overview

Midland’s water and wastewater infrastructure spans over 200 kilometers and requires continuous maintenance to prevent failures. To enhance risk and lifecycle management, the town collaborated with CANN Forecast, integrating AI technology to analyze extensive data—including failure history and current work orders. This approach enables the identification of high-risk sections within the network, allowing for targeted maintenance and resource allocation, thereby mitigating potential failures and extending the infrastructure’s lifespan.

Key Features