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BIM, Innovation, Lean, Science & Technology, Trends

Using AI to Continuously Innovate

  • Peter Mulcahey and Rawle Sawh
  • Feb 16, 2021
  • 2

The word Innovation seems to be at the forefront of many business conversations these days, but how are we really transforming and advancing the way we operate as a company? In construction, we are frequently being pitched with tech-based solutions that promise to advance our operations. Take for example, the numerous photo-documentation platforms that provide 360° visual representations of jobsites. This has proved to be a great advancement for the industry, allowing remote clients and project teams to view project progress. But how can we take that and continue to innovate to bring it to the next level?

Enter Building Productivity Solution: Disperse

One way is utilizing Artificial Intelligence (AI) and machine-learning to track productivity on site. On a series of New York projects, Gilbane has partnered with Disperse, a leading provider of building productivity systems to identify problems before they compound and to build faster with added confidence. Disperse takes construction site data ­­— and using AI and machine-learning­­— digitizes and processes that data, taking the visual documentation to a whole new level. The data becomes integrated with schedules and drawings, is mapped against components, and is quantified over time. This provides our project teams with indisputable project records to assess where they are against planned progress and provides evidence of performance week to week.

This system gives our teams a steady and reliable flow of accurate data and machine-learning analytics that shows gaps and stimulates productivity improvements. It allows us to serve our clients with total transparency on a project, fostering a trusted relationship. It protects cash flow by providing a visual audit, proving what has been delivered on a weekly basis. And it also allows our teams to optimize the labor onsite, with measures of productivity broken down to the package and trade level.

Our Current Work in New York

Gilbane is currently using the Disperse system on several projects in New York, deployed across nearly two million square feet of major construction. This reflects Gilbane’s willingness to explore new approaches and technologies, especially when it comes to the use of AI-powered building productivity solutions.

“We stay focused on delivering top quality from the moment we’re on a project, and that includes pre-construction. The delivery data that we’re collecting feeds directly back into our processes around estimation, procurement, requisitions and payments, which means we’ll continue to work smarter and guarantee a new level of accuracy across many of our functions. When we engage with a client, we want them to know that their investment is protected” says Rawle Sawh, Director of VDC for Gilbane.

The effective data processing, analytics and machine-learning technology takes the subjectivity out of the equation, so our teams can truly optimize our client’s projects. Learn more about how Gilbane is adopting innovative technology to offer our clients a more integrated, dynamic, and lean method of building.

Artificial Intelligencebuilding productivityDisperselean constructionmachine-learning

Peter Mulcahey

Peter Mulcahey serves as Gilbane’s Vice President and Healthcare Area Manager for the New York Division. He leads a team of professionals responsible for delivering project excellence for high-profile healthcare clients including New York-Presbyterian Hospital, Northwell Health and Mohawk Valley Health System. Peter brings a thorough understanding of specific drivers and trends in the healthcare market, including best practices and innovative solutions. View LinkedIn Profile

Rawle Sawh

Rawle Sawh is the Director of Virtual Design and Construction (VDC) at Gilbane Building Company where he specializes in 3D Building Information Modeling (BIM) and VDC technology. Rawle supports some of New York City’s largest and most complex projects including the Delta Terminal at JFK International Airport as well as Columbia University’s Manhattanville Development project. Rawle holds both a Masters in Architecture and Bachelor of Science in Architecture from the University of Maryland in College Park. He is currently an adjunct lecturer at Columbia University where he teaches a course entitled IT Advantages in Construction, which focuses on how BIM should be leveraged within the industry. He was also named to Commercial Observer’s Top Young Professionals of 2017 as well as named to ENR’s 2020 Top 20 Under 40 in the AEC Industry. View LinkedIn Profile

Comments

Marcus Partlow
Feb 16, 2021 at 11:18am

Thank you very much!! Most impressive new uses of AI and jobsite tools!!

Reply
Rajesh Karlapati
Feb 16, 2021 at 1:19pm

Thanks for sharing new insights into AI in construction. I truly believe lot of field inaccur