We have all seen how artificial intelligence in the construction industry has increased productivity, safety, and other aspects of business success. The current worth of the sector is estimated to be at $10 trillion, while the productivity gap due to the lack of digitalization in the industry is calculated to $1.6 trillion. But, by working smarter together, users can make better planning decisions.
The construction industry has been undergoing a shift in technology as the first 3D-printed buildings are emerging as well as the emerging trend of robotics. There is no doubt that A.I. applications can boost efficiency on site and raise the bar for the industry in terms of productivity, risk reduction, and overall construction performance.
Although building a structure such as a skyscraper requires the joint effort of a great number of professionals, such as architects, crane operators, electricians, and others to efficiently reach the completion date. But, construction materials can change the scheduling of a project. The final costs can change substantially change depending on the company of those elements, but certain softwares have been made to alleviate those situations like ALICE.
ALICE is an A.I. assistant that can analyze millions of construction scenarios and arrive at the optimal solution. Project schedule optimizers such as ALICE are able to analyze millions of options in a very short amount of time. ALICE can leverage the planning process, reduce project schedules, and resolve schedule delays.
Moreover, A.I. has many direct applications in the construction sector that gives contractors the ability to optimize routes and improve traffic navigation. McKinsey predicts that their effort will lead to the allocation of more resources to build the necessary capabilities to play a significant role in construction in the coming years.
So within the next few years we should expect to see A.I. solutions beginning to emerge in construction and enhance analytics platforms to help collect and analyze data from sensors to understand patterns which then deploy real-time solutions, cut costs, and prioritize preventative maintenance.