Swinerton uses data and AI to predict construction project outcomes
Business situation
Swinerton is a 130-year-old general contractor that also self-performs trades such as drywall, framing, carpentry, demolition and concrete. The company also runs a large renewable energy group for utility-scale photovoltaics. With so many projects happening at once, Swinerton wanted a way to predict whether or not a project would be successful – meaning one that is completed on schedule and on budget. Specifically, it wanted to use its historical datasets to determine which projects might be at risk, believing that there are indicators within the data that humans aren’t detecting. Swinerton believed that the answers might be found using machine learning and AI and turned to the experts at Avanade.
Solution
The company partnered with Avanade and Microsoft for a unique, co-innovation approach to building a proof-of-concept (PoC) – a data science competition. Multiple teams from Avanade used datasets provided by Swinerton to build a PoC tool that uses machine learning and AI to predict project outcomes. Teams presented their findings and insights to a panel of judges and a winning PoC was selected.
Results
The data science competition proved that it was possible to predict project outcomes using data. With this valuable insight, Swinerton can identify at-risk projects and determine what changes can be made to fix them. The company is currently looking at how the PoC can be produced and deployed as a working solution.
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Headquarters
North America
1191 Second Avenue
Suite 100
Seattle, WA 98101
Growth Markets
Avanade Asia Pte Ltd
250 North Bridge Road
#30-03 Raffles City Tower
Singapore 179101