The global construction industry has grown by only one per cent per year over the past few decades. Compare this with a growth rate of 3.6% in manufacturing, and 2.8% for the whole world economy. Productivity, or the total economic output per worker, has remained flat in construction. In comparison, productivity has grown 1,500% in retail, manufacturing, and agriculture since 1945. One of the reasons for this is that construction is one of the most under-digitized industries in the world and is slow to adopt new technologies (McKinsey, 2017).
The potential applications of machine learning and artificial intelligence (AI) in construction are vast, and for early adopters, these technologies are already helping to make jobsites safer, more efficient and more productive. Requests for information, open issues and change orders are standard in the construction industry. Machine learning is like a smart assistant that can scrutinize this mountain of data, learn from it and then alert project managers about the critical items that need their attention. This type of AI is also being used to track the real-time interactions of workers, machinery and objects on the jobsite and alert supervisors of potential safety issues, construction errors and productivity issues. What are some of the top benefits of using AI and machine learning in the construction industry?
The incorporation of AI technology in the construction industry has facilitated better safety, higher efficiency, and lower downtime. FREMONT, CA: The construction industry has not completely realized the potential of artificial intelligence (AI). It is under-digitized when compared to other sectors, and lags in efficiency and performance. The incorporation of AI capabilities will not only drive higher growth but will also enable the organizations to optimize their operations. Even though the applications of AI in the construction industry are nascent, it is gaining traction because of the robust benefits offered by the technology.
The construction of New York's Empire State Building is often seen as the figurative and literal pinnacle of construction efficiency, rising 1,250 feet and 102 stories from the ground to its rooftop spire in just over 13 months' time, at a human cost of just five lives. Indeed, most of today's construction projects would be lucky to come close to that level of speed, regardless of the building's size. While the construction industry traditionally has been slow to change the way it operates, several new technologies are poised to usher in a new era of faster and more automated construction practices. Three-dimensional (3D) printing is among the key technologies that are expected to change the way structures are built in the future, as construction engineers and contractors seek methods for completing buildings more quickly, more efficiently, and, in many cases, with a greater attention paid to sustainability. Large printers that can print construction materials such as foam or concrete into specific shapes can drastically speed up the creation of walls, decorative or ornamental pieces, and even certain structural elements.
As construction projects are large and include many stakeholders, digitalization is helping reduce confusion on-site and increase efficiency among workers. FREMONT, CA: In today's times, digitalization has become the vehicle of change. Technology has become the necessity of every industrial sector, and it holds the same for the construction business. The digital machinery that construction sectors are integrating into their workflow includes Machine Learning (ML), robotics, BIM, and 3D printing. Here are some of the digital transformations that the industry has observed.