The numbers continue to roll in. AI (artificial intelligence) is one of the hottest technologies of 2019, and not only that, organizations are expecting implementations to skyrocket in the next year. Is your construction company ready for the transformation that is about to take place?

A closer look at the numbers shows: Of all respondents to a recent Gartner survey, 59% have AI deployed today. Even more, the average number of AI projects in place is currently four, but that is expected to increase to six more projects in the next 12 months and another 15 within the next three years. By 2022, organizations anticipate having an average of 35 AI or machine learning projects in place.

Source: Gartner

Basically, AI is going to grow—and it is going to do so very quickly. Many of the construction-technology providers are also making big moves in this area. InEight has long been a tech provider that has been focused on infusing AI into its technology, in order to enable construction companies to leverage data and improve business processes.

Now, we are also seeing other companies making big moves. Earlier this month, Matterport announced that it intends to acquire Arraiy, which has also developed a self-improving AI software that leverages machine learning and computer vision to unlock new techniques for integrating real and virtual digital imagery. This supports Matterport’s mission, which earlier this year announced an AI engine Cortex, which leverages AI-powered image-processing technology.

The bottomline here is that AI is coming. In fact, in many cases, it is already here. The challenge is construction companies need to prepare for the growth that is imminent. To help, AI will be a main topic of conversation at the Technology Days event, which will take place August 21-22, 2019, in Arlington Heights, Ill.

As the Gartner survey shows, the top challenges to adopting AI were a lack of skills, understanding AI use cases, and concerns with data scope of quality. Perhaps it is time the construction industry face these challenges head on and identify the best way to leverage AI in the future.

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Laura Black
Laura Blackeditor