Getting the most out of a gas turbine is key to managing power grids around the world, where shaving seconds off start-up and shut-down times keeps utilities afloat.
A case study by Suffolk Construction and image-analysis firm Smartvid.io into 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.
Construction firms that adopt technology to accelerate delivery can achieve real efficiency but if they aren’t also gaining insight from project data, they’re missing a major opportunity.
Recent advances in machine learning and smart algorithms offer new insights for architects, engineers and contractors. But getting artificial-intelligence systems to align with the industry’s needs is the next step for the technology’s proponents.
This year’s judges for ENR’s photo contest were shadowed by a machine-learning, artificial-intelligence system being developed to flag safety hazards in construction photos and video.