AI Transforming Construction

Technology has been progressively utilised in a variety of ways to make building more efficient and innovative in recent years. Machine learning networks crunch data, data gathering computer vision sensors, and the occasional physical robotics performing simple and repeatable manual tasks, such as placing bricks, are all common uses of artificial intelligence (AI) in the construction sector. Construction projects and processes benefit from AI to increase their safety and efficiency.

In 2019, Larsen & Toubro unveiled L&T-Nxt, a new strategic initiative focusing on Artificial Intelligence (AI) and Internet of Things (IoT), among other cutting-edge technologies, to accelerate the transformation in the construction industry’s use of technology. The number of technology suppliers concentrating on the architecture, engineering, and construction industries has increased by more than 600 percent globally in the last three years alone. Computer vision, artificial intelligence (AI), mixed and virtual reality, robots, and building information modeling (BIM) are just a few of the major technologies and processes on which these firms are banking. Modern business software from some large tech companies, including Google, Microsoft and Oracle, and Trimble already incorporates machine learning and artificial intelligence.

What is the use of AI in construction?

Currently, scheduling labor for projects and risk assessment are two of the most prevalent uses for AI in construction. These are the building industry’s most troublesome areas. Innovative solutions, such as risk assessment, could help them.

AI Scheduling for Employees: Machine learning algorithms can use available data on a project’s current and potential workforce to identify which employees may be working temporarily, forecast an upcoming low point in the available workforce, identify specific individuals best suited for a job based on their skill and experience, and even identify who may be potential leadership/management material. This enables project managers to better analyze the value of placing the right individuals in the correct tasks in order to enhance their workforce’s productivity. The application of artificial intelligence in construction to schedule and evaluate talent retention could lead to long-term changes in the sector.

• https://www.kronos.com/products/ai/aimee

• https://neilpatel.com/blog/best-employee-scheduling-software/

Risk Assessment With AI: There are numerous dangers associated with the construction industry. There are a few risks that are more harmful than others. Organizations can reduce and, in some cases, eliminate hazards by using AI to identify dangerous situations before they cause problems. There are AI arrangements that can screen and focus on surrounding threats, just as there are AI arrangements that can inspect designs and plans before building begins. AI algorithms may filter and generate building plans and plans to assist in surveying where configuration plans may not function and recommend how to alter them in a way that reduces hazards in a number of situations.

https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/derisking-ai-by-design-how-to-build-risk-management-into-ai-development

• Cloud-Based Technology:

Cloud-based technologies enable users to make changes in real time because documents and information are kept in a central location to which all users have instantaccess. Here are some of the advantages of cloud technology and how it might help you reduce risk at work:

1. Visibility: Plans and other materials are accessible to the entire team, not just one or two persons. They may make updates and watch them unfold in real time.
2. Security: Because it is secure, your documents are always safe.
3. Accessibility: The cloud is available to you as long as you can connect to the server or receive an Internet signal. For project teams operating in faraway or difficult-to-reach places, cloud technology is great.

• Construction organizations can eliminate on-site risks while improving worker safety using AI-powered solutions like drones and image recognition. As a result, there will be fewer on-the-job injuries and fatalities. Contractors can also use AI to identify potentially dangerous spots and create procedures to improve safety in those regions.

Artificial intelligence is without a doubt the construction industry’s future. Despite AI’s shown ability to provide significant returns on investment, many engineering and construction firms have yet to use the technology. As a result, it’s critical for construction managers to stay up to date on the latest AI breakthroughs.