Improving construction data practices and finding new ways to use machine-learning and other advanced algorithms in projects has been a hot topic in the industry, but some firms are already seeing real benefits. That was the consensus of a panel of experts convened for ENR’s 2021 Top Young Professionals conference, held Feb. 24-26.

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.

Maintaining social distancing can be a problem on an active jobsite. But Smartvid.io is turning it's safety-monitoring A.I. toward the challenge of keeping workers safely spaced out.

At the King George the Fifth dock site on the River Thames, a contractor is using smart sensors to monitor the strength of concrete it’s casting to form 75,000 sq meters of slab over water to extend the footprint of London City Airport.