Tech & Innovation
are linked to a mobile app that shows the asset’s current state, repair history, and work orders. AI then analyzes that data to help predict and prescribe when an asset will need maintenance. AI is also helping owners proactively identify asset issues so they can address them before they become a problem. For example, laser scanning technology is being used to create a digital twin of an asset, such as a bridge. The scan’s output—a dense point cloud—is then registered and aligned to the physical asset. AI uses the point cloud data to monitor and compare the asset to their model counterparts, sounding an alarm when even slight differences are detected.
Using AI, owners can periodically check for structural deformations or differences and proactively identify and address changes to keep assets healthy and the people using them safe. The Future of AI in Construction The AEC industry has a lot to gain from. Although we’re still far from having a completely AI-powered jobsite, the advancements being made today are helping pave the way for an even safer and more efficient industry in the years to come. According to McKinsey & Company, 50 percent of organizations have already adopted AI in at least one business area. This number will only grow as the AEC industry continues exploring new ways to unlock the value of AI.
ANNE HUNT is an accomplished leader at the forefront of data-driven innovation. She currently serves as the Director of the Trimble Data and Analytics team. With a passion for revolutionizing the construction industry, Anne and her team deliver cutting-edge data-first services that drive meaningful advancements.
18 Fall 2024
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