The advancements in artificial intelligence have already made their way into the day-to-day activities of human beings making the lives of people more comfortable. Artificial intelligence enables numerous computer-processing techniques to complete the tasks, which require human intelligence. However, the requirements of accurate design models and predictive capabilities have made AI step into the construction industry.
With the technology already widespread in numerous parallel industries, the construction industry seems to be the slowest segment in adopting AI. Deployment of AI in the construction industry is beneficial in different pre-construction phases, planning and designing through generative design. Furthermore, it enhances the rate of productivity, safety measures, and other aspects leading to the success of a business. AI enables these services through predictive maintenance, which processes the real-time data captured through sensors or IoT. Moreover, with the massive amount of data obtained in construction sectors every day, it is complicated for manual processes to manage this data and hence, leveraging AI allows both the construction organizations and clients to extract the benefits it offers.
In the early stage of AI construction, the programs developed provides a precise amount of data insights, which helps the contractors to optimize worksite safety and enhance the productivity rate with safety concerns. A survey by Harvard Business Review on the deployment of AI in industries shows that around 60 percent of the companies agreed that the future of their company is dependent on AI. Another 36 percent of respondents said that machine-learning algorithms will drive certain units of the organization.
Furthermore, during the construction development phase, it is seen that proper designing and planning are the most crucial task, where a huge investment is spent on the research and architectural design leading to budget constraints. This limitation is overwhelmed through the development of integrated add-on-software with building information modeling software to enable advanced generative design.
Lastly, the current and future of the construction industry is dependent on AI due to its advancement in the construction market outlook and analyzing perspectives of the market. In future, other strategies such as project schedule optimizers, image recognition, and video analysis to study the behavior of employee in the workplace, enhanced analytic platforms will help yield better output with a high level of safety precaution in the construction industry.