Manufacturers can significantly improve equipment performance by applying AI to existing operational systems, transforming traditional monitoring tools like OEE dashboards into autonomous systems that continuously self-optimize and enhance equipment effectiveness with each use, rather than requiring complete system replacement.
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we can start to apply the latest technology and the latest capabilities in in infrastructure to be able to say, all right, let's take those existing use cases, apply AI to them, and make them much, much better. So, for example, OEE, overall equipment equipment effectiveness, has been one of the standards of, okay, build dashboards to find out how effectively you're using your assets on the plant floor. Well, applying AI to that actually accelerates that and turbocharges that. So, you can, instead of just saying OEE, we're going to do autonomous equipment effectiveness, where the machine doesn't just wait for you to do something, it makes itself better. Well, instead, we're going to apply predictive asset enhancement. And so, we're going to do, like I talked about the at the brewery, we're going to have a machine that gets better every single time it's being used. And you know, I'm a big fan of turbocharging those existing applications, right? And so, you can start there. You've got a lot of applications, a lot of use cases, a lot of companies will have hundreds, dozens or hundreds. We can apply AI to accelerate and enhance those.
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