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AI-based disciplines like machine learning and deep learning can help improve the field of construction in a myriad of ways. Here are some possible areas of interest:

 

Project Planning

Construction companies can use techniques like reinforcement learning, where machines learn through trial and error, to improve their project planning capabilities. The transportation industry is already using these techniques for route optimization and traffic navigation.

 

Supply Chain and Inventory Management

Like retail companies, builders and constructors can use supervised learning applications to optimize supply chain and inventory management. It’ll help construction businesses save costs on moving materials from offsite to onsite locations more efficiently.

 

Predicting Risks

Assessing risks for a construction project is difficult. The construction industry can learn from the pharmaceutical companies that use AI-based algorithms to predict significant project risks. It can save construction companies millions of dollars.

 

Robotics and Prefabrication

The advances in AI is creating more sophisticated robots that can build complex structures using 3-D printing technology and then put the structures together. This can help construction companies automate a lot of current manual tasks in the future.

 

Quality Control

AI-based applications can use images from drones and 3-D models to diagnose structural problems and defects. It would improve the quality control and the safety of new structures, meaning businesses will be able to resolve issues and decrease legal and insurance claims proactively.

 

Talent Retention

Machine learning algorithms are being used in other industries to attract and retain top talent. Similar applications can be used in construction businesses to predict turnover and labor shortages. Human resources can use these tools to improve recruiting strategies for both short-term and long-term workers.

 

Design Optimization

AI-based applications can help engineers and architects better design buildings. Business owners can use machine learning algorithms to learn from past project mistakes and ensure that future designs resolve those problems.

 

Competitive Bidding

Construction companies have to bid for projects regularly. Currently, businesses bid based on their past experiences and estimates. But AI-based applications can help companies better analyze new projects and optimize the bidding process.

 

Reputation Management

Machine learning algorithms can help firms analyze market sentiments and address client concerns. This can help construction businesses improve their reputation and keep their stock prices up.

 

Embracing AI in the Construction industry

Leaders should look at the effects of AI and find starting points to implement AI-based applications. They can also learn from other industries and adopt the solutions that are already working. Early adopters will have the advantage of staying competitive in the industry.