As buzz grows about AI, no one can deny this technology is impacting the “the future of work.” Yet, there are both risks and opportunities with this new technology.
AI, employed in construction for various purposes, can include enhancing project planning, executing predictive maintenance, improving safety through monitoring, and ensuring quality control. AI leverages large datasets of information to identify patterns and make predictions, such as estimating the optimal amount of materials needed for a project or predicting potential delays. Thus the catch….in the construction industry, data can be fragmented, inconsistent, or unavailable. Due to the involvement of many players in the construction process, collecting and standardizing data from various sources is a significant hurdle.
One advantage is that AI can also help generate construction drawings automatically or semi-automatically, based on the design intent, specifications, and constraints of the project. And what about those “feet on the ground”—the Project Manager? AI can proactively monitor construction projects, analyzing factors like material volume, machine operation times, weather conditions, and historical data for risk assessment. This aids Project Managers to make more informed decisions and keep projects on track as they experience a shift away from task management and repetitive tasks and towards strategic planning.
Enforcing project efficiency, improving safety, enhancing decision-making and streamlining workflows are goals for any construction partner. Looking into the crystal ball, as the industry is still in the early stages of utilizing AI; early adopters stand to gain a substantial competitive advantage.
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