AI in construction helps the industry as a whole overcome some of our toughest challenges, including safety concerns, labor shortages, and cost and schedule overruns.

Product demos by startups, networking and venture capital panels brought back a familiar, if masked, sense of collegiality Sept. 1, for demo day of the BuiltWorlds Summit 2021 at Chicago's Westin River North.

Doxel uses computer vision to predict, track and monitor progress on construction sites. The startup recently raised $40 million in Series B funding.

As more firms store their project data in the cloud, it offers the chance to dig through that data for new insights. Oracle has already offered some limited business intelligence dashboards for its cloud service, but the technology giant is now bringing machine-learning advice to company's scheduling and project data. 

Applying AI to planning requires a trove of data, and many power utilities have the operational data necessary to begin the kind of advanced analytics machine learning can provide.

Recent advancements in machine learning provide advice on bidding, scheduling and labor allocation, pointing the way to a more data-driven project life cycle

When the COVID-19 pandemic first spread across the U.S. earlier this year, construction sites saw a raft of new safety procedures to ensure essential work could continue without casually spreading the virus.

Getting machine learning and artificial intelligence to work for construction is often a matter of finding where it would be most useful.

In its latest investment to fill out offerings for project data management, the software giant bought the maker of the Pype AI-analysis and project planning platform.

After working though a recent pilot project, Turner Construction has found that a smart IoT crane-monitoring device from tech company Versatile is changing the way they run their cranes, with real benefits for productivity and weeks shaved off of construction schedules.