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Future Of AI In Construction – Inc42 Media

In recent years, technology is increasingly being used in a range of ways to make construction more efficient and innovative. It is no longer odd to fly a drone over a construction site, to optimise work schedules to improve workplace safety or choose the best setting based on predictions. All possible because of artificial intelligence (AI).
Despite a retarded initial adoption pace, construction leaders are beginning to take a greater interest in the transformative prospects of AI tech. During the next upcoming years, expect an increasingly quick rate for tech acceptance as applications and products targeted for construction continue hitting the market.
Reduced Cost (Save Cost)
Most megaprojects go over budget despite employing the best project teams. Artificial Neural Networks are used on projects to anticipate cost overruns based on parameters such as project size, contract type and the expertise level of project managers. Using pattern recognition and historical data, along with connections to scheduling systems and other associated information, AI is proven to help better manage schedules for future projects. This predictive maintenance can help to reduce costly delays and downtime. As a result, project delivery is expedited.
Also, there’s a major improvement in old-fashioned scripting. Now the engineers quickly generate the most efficient AI-based designs. It enables the design and planning to be timelier, of greater quality and cheaper.
Automating Safety Audits (Save Lives)
Construction is not without hazards. There are a variety of potential hazards at the site from dangerous structures to moving equipment that strikes dangers to humans. AI is now helping to improve overall safety on job sites. Increasingly, construction sites are equipped with cameras, IoT devices, and sensors that monitor many aspects of construction operations and inform staff whenever it detects possible safety hazards. This automated process can be repeated every minute and log all unsafe events. It can also train image classification models to detect the nature of the activity being performed, ex. bar bending, concreting, etc. This not only reduces liability but also it can save lives and increase efficiency.
Execution Of Routine Tasks (Save Time)
Beyond accident prevention, AI can also assist operators of heavy and mobile machinery at the construction sites. Operators often perform several tasks at the same time while working with a machine. This leads to a major error rate and efficiency losses. AI has the potential to facilitate the use of heavy machinery significantly by assisting the machine operator in executing routine tasks. These repetitive pieces of work are tailor-made to be replaced by AI-based tools, as they can learn and adapt these tasks easily. Then the operator can concentrate on more complicated and value-adding tasks.
Personalized Training For Front-Line Blue-Collar Workers (Save Efforts)
The sector can’t speed up without investing in human capital. Compared to other sectors, construction has a high proportion of migrant workers. New employees or workers spend the first five to seven years as an apprentice. But most of the apprentice workers are economically vulnerable and run into migration debt. Some of the workers are conversant only in a local dialect, a barrier which restricts their ability to upskill themselves, understand their basic rights, or even acquire certification for their skills.
Conversational AI has revolutionized training. Personalized language learning apps have taught over 100 million workers a new language in the construction sector. Personalized bots can teach a worker to operate a concrete vibrator. The course can also be customized to the individual’s pace of learning and his mother-tongue. AI can play the major role of a key enabler by mixing in personalization, scope, and ease of deployment.
Autonomous Transportation (Save Resources)
AI also helps further optimize logistics as per the routes. Artificial intelligence determines the best means of transportation and also the best routes based on information on times and dates, traffic, addresses, revenue, speed, etc. Besides, it improves its recommendations with every delivery executed. In the future, these routes will be used by autonomous transportation modes like trucks, cars, planes and ships.
The construction sector offers an unparalleled scale. If we are patient to fine-tune user experience and reach the product-market fit, AI can transform the lives of millions. As in the future, the use of AI and machine learning tech will be the rule in the industry rather than the exception.
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