Applied technology: Machine learning in the built environment

The use of machine learning could improve the way we predict cost, quantity, schedule and outcomes for the built environment, with AECOM successfully trialling the application.

Cost specialists Tristan Harvey-Rice and Edward Day explain why the industry needs to move beyond current classification and data collection methods to leverage the benefits of machine learning and estimate projects faster, better and smarter.

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