Machine learning software offers a proactive path to water infrastructure resilience

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By Greg Johnston

Time-series data monitoring significantly enhances the ability of water infrastructure operators to proactively create priority maps for future maintenance work, predict problem areas, and in so doing reduce the time and associated expense required for data analysis. The time is now for Canadian water infrastructure professionals to undertake artificial intelligence and machine learning initiatives that can significantly advance water infrastructure resilience.

Read the full article in ES&E Magazine’s August 2024 issue:

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