AI can streamline operations in construction engineering management in multiple ways.
Planning, building, operation, and maintenance are all changing the construction business. Artificial Intelligence is the backbone for establishing true digital initiatives in construction engineering management (CEM) to improve construction project performance. AI drives computers to perceive and acquire human-like inputs for perception, knowledge representation, reasoning, problem-solving, and planning, which can deal with difficult and ill-defined situations intelligently, and adaptively. AI investment is growing rapidly, with machine learning accounting for a large chunk to learn data from numerous sources and make smart, adaptive judgments.
AI can streamline operations in construction engineering management in multiple ways:
Automation
AI automates and objectivizes project management. AI-based technologies help traditional construction management overcome bias and confusion from manual observation and operation. Machine learning algorithms are used to intelligently study gathered data to uncover hidden information. They are also incorporated into project management software to automate data analysis and decision-making. Advanced analytics enable managers to better comprehend construction projects, codify tacit project knowledge, and quickly recognize project issues. Drones and sensors are used for on-site construction monitoring to automatically capture data and take images/videos of the site’s state, surroundings, and progress without human input. Such strategies may replace time-consuming, boring, and error-prone human observation.
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This article was written by Melanie Johnson for Contractormag
