Four Technologies Building Momentum for Wider Use

Greater mobility and the advancements in connectivity brought about by 5G will further accentuate the industry’s ability to utilize insights provided through common data environments (CDE), the sensorization of jobsites and materials, augmented reality (AR), artificial intelligence (AI), and machine learning (ML).

These technologies will provide greater connectivity, capacity, and democratization of technology. 

Eventually, work sites could be able to "sensorize" virtually everything on a job site, enabling companies to collect data from tools and materials. For example, workers could put sensors in concrete to assess curing time. Capturing such crucial information from IoT sensors can make 5G a crucial component of a job site.

Additionally, 5G will further heighten the focus on visualization and enable experts to provide real-time guidance to new technicians connected via headsets, glasses, or other visualization technologies.

As 5G becomes more accessible, it could open up new capabilities for monitoring, laser scanning, BIM modeling, and much more.

 'Construction Moneyball' will be a hit

Construction industry executives and operators are realizing they must standardize, digitalize, and automate their processes to differentiate themselves in the market. So, we expect organizations will begin to take a ‘Construction Moneyball’ approach where they will analyze everything meaningful that can possibly be measured.

After determining the data or metrics they need to capture and monitor, organizations would be able to standardize, digitalize, and automate their processes to measure and analyze this data in real-time. The results may be surprising in revealing what really holds the keys to success. Recall for the Oakland A’s in Moneyball, the data surprisingly showed the risks of bunting and stealing didn’t always add up to the reward of getting in a run. For construction firms, similarly, maybe one overlooked aspect of daily operations could be the linchpin factor that routinely throws off an entire project.

With standardized business processes, constantly pulling and analyzing data, firms will be able to drive productivity and efficiencies to better compete, to differentiate themselves, and to stay ahead. Quick data intelligence can also help identify and resolve data security issues faster. This alone could become a growing competitive advantage in the coming years as customers will want reassurance that their data will be kept safe.

Intelligent platforms will transform everything

As noted, engineering and construction organizations will look to improve how data is managed – and how it is used to inform decision-making. With hundreds of decisions all happening at once on a project, organizations will utilize construction technology platforms to better keep everyone synchronized, and to provide the project team the visibility, tracking, and reporting it needs to stay on track.  

As contractors and engineers increasingly move towards more digital workflows, a new breed of intelligent technology platforms, powered by an AI and ML “data backbone,” will emerge. These platforms could help organizations liberate their data and convert it into the intelligence needed to accelerate performance.

They may also provide highly secure information management, reporting, and workflow automation to drive efficiency, visibility, and control across project processes. These cloud-based intelligent construction platforms would support a new era of construction performance needed to compete in an increasingly competitive market.

Predictive AI will be the future of planning

To date, business intelligence technologies have generally provided only a backward-looking view into project data, i.e., what has happened on projects. While these insights are valuable, organizations will soon look to construction technology platforms that utilize AI to predict what is likely to happen  throughout the construction process. This will improve chances for delivering a project on time and on budget.

New developments in AI already have unlocked another level of project intelligence, enabling predictive insights to drive better decision-making and improve project outcomes. Taken together, they can yield a dynamic view into such variables as:

• Factors that might delay a project;
• Probability of delay on a project;
• Amount of predicted delay;
• Likelihood (and severity) of a cost overrun;
• Hidden risks around safety, design, rework, litigation, etc.

AI will help organizations succeed in the present, by learning from the past, to improve the future. It will yield predictive insights that add value to nearly every aspect of construction project management, including critical areas such as schedule, cost/budget, quality, safety, risk, and collaboration.

Of course, all these technologies and use cases driving safety, productivity, and quality will need to be tested before being deployed in the field. We created Oracle Industry Lab as a test bed specifically for this purpose. The Lab allows Oracle, customers, partners and their ecosystem, to explore, test, validate technologies, improve processes, and enhance skills of the future workforce.

And the results will help to accelerate and to fine-tune the myriad changes that are transforming our industry, both sooner and for the better.

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Author Burcin Kaplanoglu is Vice President of Innovation at the Oracle Industry Lab in Deerfield IL, outside Chicago. He also serves as an adjunct professor at Northwestern University and chairs an advisory committee to the A.I. in Construction Institute at the Grainger College of Engineering, University of Illinois, Urbana-Champaign. Kaplanoglu previously spent 15 years with Lendlease, and holds multiple degrees in civil engineering and construction management. He can be reached at [email protected].