The Architecture, Engineering, and Construction (AEC) industry has recorded the lowest productivity rate over the years. It seems to have been stuck in a time wrap and left behind in the transformation saga. AEC’s growth has fallen behind that of other industries for quite a long time, and there is a $1.6 trillion chance to close the gap. The critical question we need to ask ourselves is why? Is it a matter of cost or fear for ambiguity in the usage of recent technologies? Full Article
Bethanie Hestermann, Contributing Writer
Researchers are asking and seeking answers to AI’s most complicated questions.
In industries like construction, AI (artificial intelligence) technologies are helping organizations innovate and meet society’s evolving needs in a connected world. However, questions remain about the darker sides of AI, including the ethical conundrums raised in certain use cases.
AI is a collection of technologies that can enable a system to sense, comprehend, act, and learn. These technologies are empowering professionals to better make sense of the vast amounts of digital data that are collected by modern information systems. Today, AI is taking over some routine tasks and, because of this, some jobs have changed. Going forward, AI and machine learning will increasingly be used to augment existing professional capabilities and continue to try to draw more actionable structure from raw data. As this continues, it’s possible that some jobs will disappear.
Robotic automation has been widely adopted by the manufacturing industry for decades. Most automotive vehicles, consumer electrical appliances, and even domestic robots were made and assembled by “armies” of robots with minimal human supervision. Robotic automation brings higher production efficiency, a safer working environment, lower costs and superior quality. After years of development and deployment, the process now requires minimal human involvement.
However, we seldom find high levels of automation at building construction work sites. Why is this and how can we make it a reality? Before moving forward, we need to take stock of where we are and what the restrictions are to robotic automation. Full Article