Transcript

I think, well, one, I think data governance is interesting to think about and talk about, especially in the context of being a I-ready, because large part of my career data governance was a control mechanism and now it's really mechanism. It was locked down. You can't access this data. This data's got a diet this certain time, like it was all about control and control and access were at odds and now control and access are aligned. You can give more access. And have more control. So you gotta think about that and plan for that now. Now what are you gonna do with that? And you do in an AI age where data is moving through a machine and it's not going from human that manages the pipeline. What happened? OK, I need to reload this data that that is going away. If you design your patterns well through the BI analyst who's updating the semantic model to the BI analyst who's writing reports to the frontline managers who are consuming reports or pivoting data around. A lot of that work is gonna flow through machine and then there it's going to grind data a lot further for the humans, interact with it and make decisions around analogs and around context. That humans are great at. And so I think organizations need to think about and people need to think about governance as an enabler and what does it enabled, what is an enabling data governance process look like along our entire data value chain?