Construction is one of the oldest professions as people have been building shelters and structures for millennia. However the industry has evolved quite a bit in the way they design, plan, and build structures. For decades, technology has been used in the construction industry to make jobs more efficient and construction projects and structures safer. In recent years, construction companies have increasingly started using AI in a range of ways to make construction more efficient and innovative. From optimizing work schedules to improving workplace safety to keeping a secure watch on construction facilities, AI in the construction industry is already proving its value.
The global construction industry has grown by only one per cent per year over the past few decades. Compare this with a growth rate of 3.6% in manufacturing, and 2.8% for the whole world economy. Productivity, or the total economic output per worker, has remained flat in construction. In comparison, productivity has grown 1,500% in retail, manufacturing, and agriculture since 1945. One of the reasons for this is that construction is one of the most under-digitized industries in the world and is slow to adopt new technologies (McKinsey, 2017).
Internet of Things (IoT) sensors predominantly provide visibility to an operating stack – enabling access to real-time and accurate operational data. Laying analysis on top of that data produces dashboards and other visual representations but artificial intelligence (AI) extends this further by harnessing the data streams to train models and identify patterns. Observations can then be made by a computer much like a human analyst could but at tremendous speed and scale. AI makes it possible to anticipate and predict events in a robust and scalable way. This can create huge business advantages.
The incorporation of AI technology in the construction industry has facilitated better safety, higher efficiency, and lower downtime. FREMONT, CA: The construction industry has not completely realized the potential of artificial intelligence (AI). It is under-digitized when compared to other sectors, and lags in efficiency and performance. The incorporation of AI capabilities will not only drive higher growth but will also enable the organizations to optimize their operations. Even though the applications of AI in the construction industry are nascent, it is gaining traction because of the robust benefits offered by the technology.
Whilst it has taken construction a while to embrace new technology, BIM has proven that when applied correctly, technology can be hugely beneficial to improving productivity in manual industries such as this one. The effect Building Information Modelling has had on construction processes goes much further than 3D modelling and building design. BIM systems now contribute to every stage of everything in the construction process, from design, production and project management to handover once a project is complete. The question is, how do we continue to improve the construction industry in the way that BIM has? There has never been more pressure on the construction industry to deliver results with a rapidly rising demand across society for more housing and infrastructure.