There is a large automotive parts company in Canada that is using industrial AI to improve the efficiency of its equipment—for example, to reduce the downtime of its equipment. They're doing that not only through predictive maintenance but also through prescriptive maintenance, where they can look ahead. It's not to predict the failure of equipment but rather to make sure it doesn't happen.
This requires sensors embedded in the equipment, and real-time data so that, in some AI applications, where you're controlling the equipment and reading the equipment in real time and avoiding any latency problems. You're dealing with the need for some form of segregated network in order to protect and ensure the integrity of the data and the fast transmission of that data. If the equipment—in this case including the use of robotics—is run through AI and embedded in those robotics, that all has to be integrated as well.
That's the type of technology stack they're working with. The AI model helps them reduce the downtime of the equipment pretty significantly.