Building Information Modeling (BIM), which has been evolving for the last five decades, won many praises for how much it cuts costs and time in the process of construction. However, in addition to more efficient projects, BIM can step in to save the most crucial resource of any industry: Human lives and health.
The fact that Building information modeling (BIM) is not a software, has been repeated like a mantra for many many years and is now a well known fact. Nevertheless, since BIM in its practical form is executed using BIM (enabled) software, looking at BIM software is important.
Manufacturers of building products are striving to optimize their internal processes to be more competitive, innovative, and powerful. It's no secret that embracing digitalization is the easiest way to achieve this novel goal. However, how does one optimize the process of optimization?
Building Information Modelling (BIM) had its beginnings in the 1970s, as the design innovators from the United States, Western Europe, and the Soviet Block competed to create a software solution to disrupt the architecture. Thanks to this technology, which keeps growing and optimizing itself, in the late 20th century, modern architecture went through a mini-renaissance.
Construction is one of the least digitized industries in the world, mainly due to challenges and complexities of its supply chain. While the industry has been relatively slow to respond to the digital revolution that took the world by storm, structural changes are pushing for rapid digitization.
It wasn't very long ago— just a few decades— that every building began with a pencil and a piece of paper. Architects designed large buildings by drawing onto sheets of paper taped together to create a canvas hundreds of feet long.
While most of the buzz around artificial intelligence (AI) may seem new, the concept has been around for more than 60 years. American computer scientist John McCarthy, known as the "Father of AI," coined the term "artificial intelligence" in the 1950s, leading researchers across the United States to dig into the computer learning for processing equations and theorems.