MTConnect

And that's the problem that data flows perfectly, but it means different things to different systems.

Things like what we work on with MT Connect, which is a machine-to-machine communication protocol, and just organizations working with ontology.

for example, to make sure all their data lines up.

And if it's coming from different systems, when it reaches the AI, the AI has some confidence that what this column is called and what this column is called over here means the same thing.

Or when it comes to MT Connect data, it can say, oh, I understand what spindle speed means in the context of this manufacturing operation or this particular manufacturing environment.

Are you seeing any of that conversations about the semantic layer with the conversations that you're having with customers or does it tend to get lumped into some other problem?

You know, we definitely see that in our segments in our industry.