Artificial intelligence can leverage the analysis of large amounts of data and the ability to remove data silos is one of the main advantages. In the construction industry, it not only generates components, but also a lot of information that is rarely or never used. This data can be used for machine learning to track productivity and suggest improvements. An example is Spot R, which allows teams and managers to see 2D drawings of their team’s work in real time on a computer screen.
Construction companies are on the way to digitizing their workflows and project documentation through artificial intelligence. How does learning AI / machines help reduce risk and improve margins? One reason is that construction is one of the most digitized industries in the world, but new technologies are slow to take off. Despite a slow start, construction leaders are starting to take a more aggressive approach to using AI and machine learning in construction. Finally, Machine learning and artificial intelligence help to make workplaces and locations more efficient and to save money. As applications and products targeting the construction industry continue to enter the market, we can therefore expect the pace of technological adoption to accelerate.
AI solutions are emerging in construction that have also had an impact in other sectors. Construction technology Next Frontier, “compares the impact of machine learning, artificial intelligence and other AI technologies in construction with the adoption of AI technology in the industry,” according to an IEC press release. The article outlines that the application of artificial intelligence is still in its infancy and that the use of artificial intelligence is not as simple as in other sectors. As machine learning applies algorithms to use cases in the construction industry, it appears that the number of applications for which they are applied will only increase in the coming years. The main uses of artificial intelligence in construction seem to be frozen in the use of machines – learning as we expect, the article said.
Over the next five years, we expect many AI vendors to work to improve the efficiency of the construction process from design through monitoring to actual implementation from the early planning stage. In addition, by using AI in BIM, construction companies can perform work that was previously too difficult to perform in the earlier planning phase. Using artificial intelligence to improve the safety of human workers on construction sites with the help of artificial intelligence is becoming increasingly important at most major construction companies.
In 2017, only 10,000 people worked in the artificial intelligence industry worldwide, 95% of whom worked for huge multinationals such as Google and Amazon. This means that only 500 people in the free sector worked on artificial intelligence.
There are already a few more, but still too few to allow the other industries to catch up. Because artificial intelligence will change business processes so much, rules have already been set by the US government to restrict acquisitions of American AI-related companies by Chinese companies (and this was for Trump.) The Dutch cabinet also sees that it is very important for our country to be at the forefront of technology in artificial intelligence. That is why training has been launched in recent years and she wants to double the investment in artificial intelligence and is allocating about 1 billion euros to achieve this.
The government has also drawn up a special action plan for intensive public-private partnerships and investments for artificial intelligence. Nevertheless, several large companies indicate that the Netherlands misses the ‘boat‘ with artificial intelligence and are sounding the alarm. We are not moving fast enough! Time for action!
The journey for most companies, which started with the internet, has taken them through key stages of digitalization, such as core systems modernization and mobile tech integration, and has brought them to the intelligent automation stage. — Deloitte.com
Supplai understands that every company has and works on a core ERP system. The terms artificial intelligence (AI), artificial intelligence (AI), robotic process automation (RPA) and perhaps machine learning or deep learning (read more in our blog) can therefore be an elusive and difficult to understand technique. Because how do you connect this to each other?
We believe that you should set up your organization step by step, process by process, to use artificial intelligence and thus improve your business processes. Our solutions therefore also connect seamlessly with your existing systems. Think of it as a new app on your phone! We just add something to it. In the text below, let us inspire you with examples with artificial intelligence for the manufacturing industry about how your company can look like with AI in the next 5 years.
As a construction company you also have to deal with invoices, debtors, creditors management and of course your cash flow management. There are many repetitive processes that involve data in the finance department. Artificial intelligence is well suited here to analyze large amounts of unstructured data or to take tasks off your hands.
There are many other Artificial Intelligence for the construction industry examples to come up with. Don’t let Artificial Intelligence replace your employees, but improve them!