This Website Uses Cookies 通过关闭此消息或继续使用我们的网站,您同意我们的Cookie政策。了解更多该网站需要某些cookie工作并使用其他cookie来帮助您获得最佳体验。通过访问此网站,已经设置了某些cookie,您可能会删除和阻止。通过关闭此消息或继续使用我们的网站,即表示您同意使用cookie。访问我们的更新隐私和饼干政策,以了解更多信息。
Product demos by startups, networking and venture capital panels brought back a familiar, if masked, sense of collegiality Sept. 1, for demo day of the BuiltWorlds Summit 2021 at Chicago's Westin River North.
Boston Dynamics' Brian Ringley offers a perspective on the industry's digital future, including the potential convergence of BIM, digital twins and robotics.
Improving construction data practices and finding new ways to use machine-learning and other advanced algorithms in projects has been a hot topic in the industry, but some firms are already seeing real benefits. That was the consensus of a panel of experts convened for ENR’s 2021 Top Young Professionals conference, held Feb. 24-26.
As more firms store their project data in the cloud, it offers the chance to dig through that data for new insights. Oracle has already offered some limited business intelligence dashboards for its cloud service, but the technology giant is now bringing machine-learning advice to company's scheduling and project data.
Applying AI to planning requires a trove of data, and many power utilities have the operational data necessary to begin the kind of advanced analytics machine learning can provide.
When the COVID-19 pandemic first spread across the U.S. earlier this year, construction sites saw a raft of new safety procedures to ensure essential work could continue without casually spreading the virus.
As artificial intelligence draws attention for ways to address individual challenges in construction, a new class of machine learning-driven technologies are coming online to tackle the broader planning and scheduling issues. We'll talk to the experts and users of these new machine-learning tools on what construction businesses can learn from these AI advisors.