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Today, many construction companies are striving to align the production efficiency with scheduled activities through the use of reality capture and Building Information Modeling (BIM)-enabled workflows. The exponential growth in data acquisition and application of BIM, paired with ever more aggressive delivery schedules, calls for introduction of solutions that transcend the current algorithmic capabilities and venture into Artificial Intelligence (AI) territory with the goal of achieving better control and higher level of predictability through the real time analysis of production, resources and jobsite conditions. This talk will present how leading construction companies in the US, Europe and Asia have leveraged Reconstruct -a new visual production management system- to achieve production efficiency on 100s of construction sites around the world. I will present how images and videos from drones, smartphones and 360-degree cameras are used together with computer vision algorithms to automatically generate 3D reality models over project timeline. I will also show how AI algorithms integrate and compare reality models with 4D BIM to track progress and productivity and identify risk for potential schedule delays. I will share insights on the underlying technology and work processes, and I will showcase the ongoing research and development that will pave the way for achieving real time analysis of production, resources and jobsite conditions.