The construction companies are using new technologies to help them increase their efficiency and productivity.
FREMONT, CA: The popularity of machine learning and artificial intelligence has increased, especially in the world of economics, telecommunications, and technology. This is not surprising because these enterprises are known for their risk-taking attitude towards new technologies, which makes their internal processes more efficient and helps them rise faster than their competitors.
The BIM companies know that there is a large amount of data available that can be collected and analyzed by machines, which will permit them to study and predict behavior and patterns. This is where machine learning comes into play for the construction industry because the technology can help them predict behavior in buildings. The architects make more informed design decisions before entering the building construction stage.
The easiest way to go back to the basics and think about machine learning is to compare it to humans. For example, when babies are born, they cannot hear, talk, or walk. They learn by repeating these tasks over a
nd over again. When they continuously repeat these tasks, the brain processes and stores them as a standard function. Therefore, as the machine learns, it examines the patterns of data it manages and uses those patterns to make more informed decisions about what will happen next.
So, when the companies input several slugs images into a computer program, and every time it is a slug, it will learn to understand slugs or other pictures of things that look like slugs. To implement this theory, if a program sees many architects are choosing the similar type of door handle for using on the same external door type in the same country, it will utilize the knowledge to suggest the same handle to other construction companies using the software. BIM is guiding construction companies so that they can start utilizing software in the cloud as it will be helpful with machine learning as it allows the machine to access data from a variety of sources.