Real-time data lets manufacturers spot problems as they happen instead of after they're solved elsewhere. Sensor costs have dropped so much that monitoring is now everywhere. Edge gateways around $3,000 can pull data from dozens of sensors into your systems fast enough to actually use it.
what are we talking about is really data, that at the center of smart manufacturing is data. And not just data, but real-time data. Because managers want to be able to view, analyze, and act upon time-sensitive information with greater speed and accuracy. So we want to be information-driven decision-making, you know, so we want to have that information ready. To make better decisions. And it can't be information that's 3 days old. Or, or you get that manager, that manager that looks at this, like, oh, caramba, we need to do something about this right away. And by the time they go over there to solve the problem, they find out that somebody's already been working on it. And it just creates a lot of inefficiency. That's just one kind of inefficiency. And And the other important thing about this and why now is because it's become very affordable. You know, I mean, sensors have become very pervasive, right? I mean, just some on our smartphones, right? We got like 6 sensors in there or something that are helping us with navigation apps, with health monitoring apps. And the same thing is happening on the shop floor. Where, where we got all the— we can sensorize around machines and, and monitor the health of a machine, monitor the health of the whole process. And we can do that with sensors that are a few hundred dollars. And with middleware and edge gateways that are around $3,000, allow us to get that data into our systems. And, and all kinds of data, right? Data like that environmental about the running conditions that really let us tackle all kinds of problems.
