Data Clarity Webinar - Highlights

AI is a productivity game. Ultimately, it's like any technology. It's a productivity, opportunity. The more you apply it, the more you can reduce cost and save time. The the question is how how dramatic a change do you level up? I tried using Looker's built in conversation thing they have now, and all I asked was how many orders did we have yesterday? And I was like, oh, I'm still learning. I can't answer that. Like you said, you could even if you went fully agentic, like, that is just automating the current thing that exists. So I said, what's the new thing that is now possible? How do you help the humans and their and their workflow? Biggest problem we're trying to solve right now is getting everyone in the business to talk to each other. I've been to a hedge fund last week. They do trading every day based on their data warehouse, and if they get one day of data wrong, they lose millions of dollars. Does all need to be on call? Like, for this sort of stuff, is this like a production workflow? Like, this is kinda crazy. So We're we're moving away from focusing on, let's get the data platform in a really good state to how do we help solve some of the business problems. We're in a very privileged position where, like, the business comes to us a lot, and they they really look to our team. It's like how where and how can we create a contained space where people don't need high data literacy? Is the ability to write this code in this language or my ability to produce more widgets per second the fundamental answer I need for this problem to go away? But if the problem is they're asking questions which are fundamentally not the right questions to be asking, then the answer is no. Like, five years from now, is it just gonna be you're a data person or you're an AI specialist? Or If you look at the best most best performing teams that we know as customers account, they they are already the best of the people side of things, the communication, the the clarity that they give to the business, and the the technical skills fall out of that anyway. You want people that are curious, are passionate about developing their craft. They care about what the business is actually doing. Because I think data people at the core of it are just problem solvers, and SQL at the moment is the tool that a lot of us are using to solve those problems, or Python is a tool we're using to solve the problem. And maybe now that tool is gonna change in the future, but we're still solving problems. So