Utilizing Artificial Intelligence and Data Analytics to Modernize the Built World

Credit: Jacobs Engineering

The business & project management sector is utilizing advancements in the field of artificial intelligence and predictive analytics to modernize and streamline all aspects of the construction process. As a result, time and money—two of the most valuable assets in the industry—are being saved drastically. Join us Wednesday, June 16th at 10 am CT with Reconstruct’s Co-Founder and CTO, Mani Golparvar, and Jacobs Engineering’s U.S. North Solution and Technology Lead, Shawn Gray as they explore how the industry can adopt groundbreaking computer-based technologies.


The Past, Present, and Future of Construction

Historically, the development and management process of construction has been disconnected and inefficient. Job sites and responsibilities are fragmented by numerous sub-contractors, while many companies are reluctant to adopt and implement new technologies. The lack of technological growth in the field—potentially stemming from the blue-collar culture—results in costly miscommunications, delays, and ultimately, increased out of pocket expenses. While some companies are failing to adapt, others are taking advantage of the endless possibilities offered through emerging technologies— leaving competitors in the dust.


Credit: Reconstruct

Pioneers of new technologies in the construction and infrastructure space are changing the way we build and manage. For example, the use of artificial intelligence and machine learning to analyze and model workspaces is a popular new technique revolutionizing the age-old building process. Drones, smartphones, and 360° cameras now have the capacity to capture reality at previously unimaginable levels—paired with computer vision algorithms, three-dimensional indoor and outdoor models can be generated. Reconstruct’s development of these technologies has optimized documentation, progress tracking, and quality control efficiency across corporate & commercial development, infrastructure/heavy civil, and general contracting. The implications of this unique technology are endless and will help the built world move past its’ outdated ideologies.


Credit: Jacobs Engineering

On the management side of construction technology, Jacobs Engineering is developing and utilizing predictive analytics and machine learning to assess risk, reduce uncertainty, and close the talent gap from labor shortages. Using predictive maintenance programs, data is applied to more perfectly define needs & forecasting and how it is affecting employee job functions and position requirements. Their technology-based process has led to a 16% reduction in non-conformances/rework and a 70% increase in the ability to resolve issues in the field—saving time, money, and improving work quality.

In the long run, investing in new construction technologies will save companies time and money via streamlining the construction process; a goal that should be held by all members of the industry. The time for drawn-out, human-led processes and protocols is over. With the press of a few buttons and the integration of leading technological advancements—such as artificial intelligence and machine learning—the built world can be transformed into a safer, more efficient, and more connected environment.

Hear from our Experts:

“Today, a large number of construction companies are striving to align their production efficiency with scheduled activities through the use of reality capture and BIM-enabled workflows. The exponential growth in data acquisition and application of BIM, paired with ever more aggressive delivery schedules, calls for the introduction of new solutions that transcend the current capabilities and venture into Artificial Intelligence (AI) territory with the goal of achieving better control and a higher level of predictability through the real-time analysis of production, resources and job site conditions.” 

Our Experts

 Join Us Wednesday, June 16th, 10 am CT To Learn About Emerging Technology’s Impact on the Built World