AI in construction involves using these technologies to make building sites safer, reduce waste and boost efficiency. AI in construction is one of several major innovations in construction technology to have emerged in recent years. ... AI machines require large amounts of data to 'train' algorithms to spot patterns.
AI based solutions can help during the construction process in many ways. AI can improve construction execution planning, the updating of construction sequences and task management, while keeping all stakeholders always informed. Furthermore, AI can also increase the productivity within construction execution itself.
Artificial intelligence (AI) is an aggregative term for describing when a machine mimics human cognitive functions, like problem-solving, pattern recognition, and learning. Machine learning is a subset of AI. Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" from data, without being explicitly programmed. A machine becomes better at understanding and providing insights as it is exposed to more data.
McKinsey expects the spread of AI in the construction sector to be modest in the immediate future (McKinsey, 2018). Nonetheless, a shift is coming. Stakeholders can no longer afford to see AI as pertinent only to other industries. Engineering and construction will need to catch up with AI methods and applications. That is the only way to contend with incoming market competitors and to remain relevant.