AI or a Data Engineering Company?

I think when building automation at least my understanding is that's very important to understand, you know, when to make a reasonable assumption and when to actually let the user decide. Even creating that workflow is a big value add because this is stuff that actually would have gotten missed, in a few days, but you are getting notified about that upfront so you know we try to be a little bit more conservative. I've also seen come of the data engineering world be kind of touched by AI. And if so how? Not as much but I think it is getting there. Yeah. The application of intelligence to the metadata itself toData tasks themselves is a very valid use case. There's some interesting