The construction industry is improving quality and safety using artificial intelligence (AI). Many companies in the sector deploy AI-powered tools like smart sensors to identify potential site hazards. According to Brandon Sarna, a project manager, AI helps detect poor-quality equipment and building materials. That way, contractors don’t use defective equipment and materials.
AI-powered drones provide a bird’s eye view of the site, allowing workers to scour sites for unstable structures and other hazards. These tools can also help identify the presence of unauthorized personnel. Deploying the tools eliminates the need for human inspectors to enter hazardous spaces.
Sarna says another key benefit of Ai in this industry is using robots to perform repetitive and dangerous tasks. The most advanced robots can weld, lay bricks, and carry objects. Construction companies find enhancing safety and boosting quality standards easier by getting such duties done by AI-powered robots. For instance, welding quality drastically improves when done using robotic tools.
AI technology is key to reducing challenges associated with human error. It also plays a vital role in verifying the structural integrity of buildings. Complex algorithms and machine learning concepts ensure the identification of potential hazards. Because of this, site managers and engineers benefit from real-time decision-making support.
Streamlining on-site processes
One of the best things about AI-powered platforms is their ability to analyze lots of data. It simplifies project managers’ work. Engineers can detect flaws using AI tools early in the construction process. Early detection saves the contractors time and money. They can implement the necessary changes before the project moves too far along.
Unsurprisingly, many companies are embracing AI solutions in construction projects. Doing so is a surefire way to stay competitive and maintain a reputation for excellence. Incorporating AI technology helps mitigate potential risks on construction sites and streamlines critical on-site processes. As a project manager, Brandon Marc Sarna confirms that AI use increases efficiency, cost savings, and better decision-making.
Artificial intelligence in preconstruction
Preconstruction phases benefit greatly from artificial intelligence’s data processing and analysis capability. The data can cover wide-ranging things like past projects, market trends, and environmental factors. As such, project managers like Sarna can identify potential risks and opportunities.
Another benefit is optimizing designs and reducing operating costs. Best of all, AI yields these advantages without compromising quality and overall project outcomes. So, construction companies handle projects of varying sizes efficiently and cost-effectively.
Data analysis is an important part of the preconstruction stage. Project managers generate accurate cost estimates during this phase, identify potential risks, and optimize project schedules. Without efficient data analysis, making the right decisions about a project becomes cumbersome and tricky.
Advanced machine learning algorithms assess historical data, market trends, resource availability, and other factors to provide invaluable insights. As a result, it becomes easier for construction companies to avoid cost overruns.
About Brandon Sarna
Born in 1991, Brandon is a Rutgers University graduate working as a project manager at Jones Lang Lasalle. He has been working in the construction industry for more than a decade.
