Take an inside look at practical applications of AI in construction that generate predictive intelligence to empower proactive and informed decision-making.

Automating some of the more tedious tasks in construction has been a target of machine learning for years, but the startup TOGAL.AI has zeroed in on one annoying task that has been overlooked.

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.

Boston Dynamics' Brian Ringley offers a perspective on the industry's digital future, including the potential convergence of BIM, digital twins and robotics.

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.