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Box enables Owens Corning to use 85 years of data in AI system predicting workplace injuries
Box announced that Owens Corning has transformed 85 years of laboratory records into an artificial intelligence-driven knowledge base to prevent engineers from repeating costly research.
The new AI system not only streamlines access to legacy knowledge but also predicts workplace injuries by identifying risk patterns before incidents occur. This development highlights the growing adoption of industrial AI, which is being implemented to boost efficiency and safety across manufacturing facilities.
The integration of AI to enhance both operational efficiency and workplace safety at Owens Corning aligns with broader advancements in the sector, as evidenced by Box's reported 15% rise in AI data extraction accuracy and the launch of its agent designed to synthesize web data with secure Box documents. Such developments underscore the accelerating pace at which artificial intelligence is reshaping industrial data management and risk prevention strategies.
This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.
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