The construction industry is massive. People all around the world need buildings to live in, work in and relax in. As more people join the population, more buildings will be needed. With 8.6 billion people estimated to inhabit this planet by 2030, we’ll need to build an average of 13,000 buildings every single day to accommodate everybody. That’s an order as tall as a skyscraper—or a few thousand of them.
Last week, Autodesk held its annual Connect and Construct Summit in London to discuss how the industry can tackle the growing demand. One of Autodesk’s many construction partners at the event was the Royal BAM Group, a lifecycle construction firm with projects around the globe. Mere miles from the Summit at Glaziers Hall, BAM is working on the redevelopment of King’s Cross, a 67-acre industrial site that’s being turned into a community of homes, shops, schools and office buildings.
Part of the King’s Cross redevelopment in London, England. (Image courtesy of Autodesk.)
One of BAM’s most interesting recent innovations is the use of machine learning to enhance its workflow, which it highlighted at the Autodesk Summit and subsequent Autodesk University London.
Too Much Construction Data
With a turnover of around USD$9.1 billion (€8 billion), operations in over 30 countries around the globe, and 50 or more active projects at any given time, BAM collects a lot of construction data. Too much data, in fact. The company had collected so much data…