Managing the data that large construction projects generate is a gargantuan task. Learn the seven best practices of a common data environment (CDE) – an invaluable tool to streamline the complexities inherent in large-scale building and infrastructure projects and improve the full lifecycle sustainability of these assets.

Major construction projects come with major data challenges. Not only is there the sheer volume of data to corral, but there are also many different teams each using their own technology tools, most of which don’t communicate seamlessly.

BIM promises a future where all parties can collaborate by sharing project information from initial design through costing, build, delivery and ongoing operations.

Construction experts know a comprehensive and accurate schedule is essential to keeping projects on time and on budget.

More owners are requiring digital project delivery to meet productivity, sustainability, and transparency. Here’s what engineers need to know.

Learn what a common data environment is and how a CDE helps you give construction stakeholders access to the information they need, when they need it.

AI in construction helps the industry as a whole overcome some of our toughest challenges, including safety concerns, labor shortages, and cost and schedule overruns.

In 2019, the global rate of consumption of materials was 100 billion tons and is projected to reach 175 billion tons in 2050. The buildings and construction sector is responsible for 36% of final energy demand globally, representing 39% of energy and process related emissions.

The COVID-19 health crisis has changed the way most businesses operate. For those in construction, it’s underscored the need to maintain safe and efficient operations under anything but typical conditions. 

According to McKinsey's 2020 report, The next normal in construction: How disruption is reshaping the world's largest ecosystem, 90% of construction professionals believe attracting and building talent will be the winning move in the future.