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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.
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.
Advances in artificial intelligence and machine learning are giving firms new insights into what can go wrong on their projects. From providing advice on where to allocate resources to identifying real safety risks on jobsites, A.I. advisors are promising to deliver real competitive advantages. Learn how to get past the hype around A.I. and find the benefits of these tools.
As artificial intelligence draws attention for ways to address individual challenges in construction, a new class of machine learning-driven technologies are coming online to tackle the broader planning and scheduling issues. We'll talk to the experts and users of these new machine-learning tools on what construction businesses can learn from these AI advisors.
ENR FutureTech is for business and IT leaders in architecture, engineering and construction to explore emerging technologies that can enhance construction productivity, profits and safety. Through a series of thought-provoking and interactive sessions and intimate networking you will take away the latest knowledge of what technologies work best, what doesn't and what's coming next for the future of the industry.