Construction is one of the oldest professions as people have been building shelters and structures for millennia. However the industry has evolved quite a bit in the way they design, plan, and build structures. For decades, technology has been used in the construction industry to make jobs more efficient and construction projects and structures safer. In recent years, construction companies have increasingly started using AI in a range of ways to make construction more efficient and innovative. From optimizing work schedules to improving workplace safety to keeping a secure watch on construction facilities, AI in the construction industry is already proving its value.
Construction managers have been finding value with AI and cognitive technologies to help automate many of the mundane but essential tasks to running their operations. They are finding AI helpful with scheduling related tasks in order to prevent delays, conflicts, and other issues. This is both on the staff level of scheduling and on the project and materials side. For small scale projects humans might be able to manage complicated construction schedules and processes manually. However, large scale, multi-year projects require the coordination of many complicated tasks and moving parts such as designs and blueprints, permits, and unexpected delays and changes that quickly get out of control for humans to manage without the assistance of technology. Machine learning excels at finding patterns and outliers in data. Using pattern recognition and historical data, along with connections to scheduling systems and other associated information, AI has proven to help better manage schedules. Using machine learning, organizations are able to spot and catch potential issues faster than humans. When it comes to scheduling, the use of advanced AI can help to prevent costly delays on sites or amongst suppliers, vendors, and others involved in the process.