A case study by Suffolk Construction and image-analysis firm Newmetrix shows how machine-learning algorithms can improve safety and reduce risk has spurred the creation of the Predictive Analytics Strategic Council, an initiative by 10 major construction companies to share project data for A.I.-driven analysis.
“This work is not about one company’s risk; it’s about reducing risk across our industry,” said Jit Kee Chin, chief data officer for Suffolk, in a statement announcing the formation of the group. In addition to Suffolk, other members include contractors Barton Mallow, Clayco, DPR Construction, JE Dunn, Messer Construction, Mortenson, Shawmut Design and Construction and Bouygues Group. Risk and insurance broker Aon is also on board, and Newmetrix will serve as technical advisor. The firms have agreed to share digital project data from a period of more than 10 years to build predictive models for safety and risk. The council is not financially backed by any vendors, although some of the participating firms will provide some funding.
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