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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.
After five years of PhD research and two years of software development, a start-up enterprise that applies parallel computing and artificial intelligence to construction planning and scheduling is ready to go to work.
Using artificial intelligence to scan construction-site photos and video to spot issues that can affect performance, quality and safety, a tech startup has landed a strategic investor with millions of such images that can be used to improve the technology.
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.
This webinar will explore the human elements of virtual reality, artificial intelligence, and new devices on job sites, as well as how trainers and developers are incorporating critical human interactions in how technologies and devices are deployed and how well they are embraced on site.
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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