a few moments. This enables manufacturers to identify the most suitable concrete mix for a given application. A design process that used to take several weeks is now completed in a matter of minutes, while guaranteeing compliance with engineering, safety and performance standards. The results? In addition to boosting productivity and cutting costs, this approach can reduce the carbon footprint of concrete by 30%(1). This digital transformation is also of benefit to the plasterboard manufacturing sector. Imagine algorithms that can determine panel placement with unprecedented precision, to reduce cutting and waste. This optimization even paves the way for pre-cutting in the factory based on digital mock-ups, meaning that ready-to-install “assembly kits” can be delivered to building sites. This results in considerable time savings during installation, less waste, and lower energy consumption during the construction phase. Offcuts could also be immediately returned to the production cycle, a perfect example of the circular economy. IA TO ADAPT TO THE PACE OF BUILDING LIFE What if buildings could adapt to the daily routines of their occupants? We’re not quite there yet, but buildings can already use AI to analyze their pace of life. For example, by cross-referencing data linked to the number of Wi-Fi connections at certain times of the day or week, they can “deduce” that all teams are present on Tuesdays, that offices are empty on Fridays due to home working, and that some floors are busier than others depending (1) Concrete Copilot. This wooden wall framing machine at the Vestack City Factory in Saint-Germain Laval (France) is not programmed to follow a fixed sequence. Using AI-generated algorithms, it can decide on its actions in real time depending on the component to be assembled. ©Vestack Through use of generative AI, the carbon footprint of concrete can be reduced by 30%(1) 38
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