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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.
The global management consulting firm McKinsey & Co. has released a new study of 2,400 construction technology providers serving the entire life cycle of the industry.
Much of the research for AI in design and construction targets the project itself, making the most of the large volume of data collected during project life cycles.
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.
Artificial Intelligence is moving out of the “buzz” realm and into reality as construction firms start to experience real results from investing in AI solutions. During this webinar, we will sit down with software development trial partners from several construction firms to learn about their AI pains and gains — so you can have a lot less of the first and hopefully, much more of the latter when you decide it’s time for AI.
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