Manufacturing Magazine November 2024 | Page 79

Deloitte smart factory Wichita
“ The key that I see to make Gen AI a success is the data ; ensuring data quality and governance are built upon and followed to allow the technology to be used .”
According to Doug , the first use cases involved dissecting information from reports and altering bar charts to pie charts without additional programming until they evolved into using natural language to obtain answers . The transition has been gradual , following AWS ’ established approach .
“ At AWS ’ s we say ‘ crawl , walk , run .’ For example , a single use case to solve could be the crawling stage , where many people start , but a large percentage stall – often referred to as pilot purgatory ,” says Doug .
Doug says that in order to scale programmes from the start businesses need to implement the correct technology and define specific data to move from crawling to walking and out of pilot purgatory .
“ Working with companies that have gone through this and built with scale as a goal will help you succeed and accelerate your journey .”
Now AWS ’ journey involves working with Deloitte to help manufacturers tackle training in the era of Industry 4.0 .
“ We ’ ve created a solution that supports workers in industrial settings , which often needs to be hands-free , as well as elevating the training experience to improve productivity and cost efficiency by providing context-aware intelligent assistance ,” Doug explains .
“ Could a worker in the future walk up to a machine and ask ‘ how are you running today ’ and receive back an answer on its status , its health and potential time to possible failure and what parts it needs to stay healthy ?”
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