Maintenance teams need fast alerts on whether equipment is up or down, while engineers optimizing production need richer data on quality and performance. The solution separates real-time control from analytical workloads so both can work without slowing each other down.
thing that we'd have to look at for manufacturing is how much— how important is the data as opposed to real time? And it seems like, you know, we're— it's kind of hard because if you're on a maintenance team, then your pants are on fire and it's all about the real time. If you're doing OEE and you're doing projections and you want to know, like, even with plastics, if you're extruding, you're constantly looking at your mix. So, you know, can I make a better plastic, you know, or— Putting copper on a on a roll with the electrode process. The those are all things that you got scientists behind the scenes that are making. They're looking at the data. So the data is not going to go away in manufacturing either. I think if we're going to become smarter manufacturing, we got to understand the PLC layer has to send the data up. It's not going to go away. But from a maintenance standpoint, if you're just You know, I'm up or I'm down, then yeah, you need the real-time processing. And so maybe it's something like you guys mentioned earlier as far as separating out the cores so that you're dealing with the data and then dealing with how to process it so that you don't have the same type of latency.
