Can Machine Learning Really Provide A Cost-Effective Desktop Analysis?
By Greg Baird
Artificial Intelligence, specifically machine learning, is poised to make a significant impact in underground water infrastructure asset management. Not only does machine learning drive performance optimization, it also increases efficiencies in business processes and planning. In the water utility industry, due to the multitude of data and variables involved, water main condition assessment is an ideal use case for this technology.
Desktop Analysis
The traditional desktop study includes collecting all of the pipe attributes, location and repair and break history, and developing a preliminary risk matrix.
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This is a very well thought-out article. One thing to keep in mind is that Machine Learning, while more advanced, can still be affordable, because it still benefits from the advantages of software and data science approaches (high scalability). It also can be used together with traditional approaches, if a municipality would like to have a ‘second opinion’ for condition assessment based on a data-driven analysis.