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Construction in America

How AI Innovation May Be the Future of Construction

The rise of AI and machine learning in construction has helped workforces catch more mistakes as they happen as well as manage project timeliness and efficiency. You’ll find, however, that machine learning in construction has its issues.

Uses for AI in construction

Construction technology has seen a surge in investment and interest in the last several years. Much of that investment has gone into replacing paper files with digital tools to improve workflow processes and increase the amount of project data available.

Artificial intelligence construction technology combines an array of tools. These include cognitive computing, machine learning, image recognition, speech recognition, predictive application programming interfaces, and many more.

Robotic solutions are already becoming a primary source on jobsites for applications such as bricklaying, demolition, and concrete dispensing.

Collaborating with AI

AI in construction management is used to quality-check critical elements of designs and plans. Plans are checked for accuracy and verified while project managers can forecast and schedule as these plans take shape.

AI techniques can also optimize development and perfect quality control of design structures. As the technologies continue to advance, virtual personal assistants can help at the office and the jobsite, creating a smarter workplace for construction companies.

Staying a step ahead

In addition to scheduling and forecasting, artificial intelligence in construction ensures the process stays a step ahead.

From predictive maintenance to weather forecasting, AI enables project managers to have a sharper focus, spotting issues quicker and determining factors ahead of time that could delay the project cycle.

Resistance to change

While AI in construction management is becoming a trend, it has also been met with resistance. Fear of the unknown and questions over implementation are understandable reasons for that resistance.

Security standards, from an IT perspective, are a concern regarding AI influence in construction technology.

Developers are exploring mass customization and personalization options as well as determining if AI technology can perform site surveys in intrinsically safe environments.

Some workers believe their jobs will be made redundant due to AI or that they will need to understand the intricacies of data science to keep up. As upgraded tools emerge, however, AI can become easy-to-use for taking on more straightforward, programmable tasks, leaving the tougher work to skilled human professionals.

Sandra Mason, Director of Public Relations, Association of Equipment Manufacturers [email protected]

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