AI and the Future of Manufacturing
"It's not about saving time, it's all about improving accuracy and quality beyond what a human could possibly do," Justice explains.
Manufacturers are often content with incremental improvements in time, accuracy and quality. As long as you're "continuously improving," you're on the path for success. However, due to AI, in ten years the current incremental changes catalyzed by kaizen and lean manufacturing might look like absolutely pedestrian. Heck, this could happen just over the next year.
In 2016, GE boasted that its Predix platform could increase an industry's performance by 1%. Last year across GE's Brilliant Factories, Predix yielded much greater improvements. In India, equipment effectiveness reportedly increased by 18%, while a Michigan plant cut downtime by as to 20% by applying IoT sensors to monitor wear.