AI-driven Performance Improvement Teaser

[00:00:00] Foreign. [00:00:08] As we think about the, the capabilities of AI, right. I think companies need to be specific around what they need to fix and then they need to think about, okay, when I, when I have something as optimized as I think I can do, where are there areas where there's either I'm synthesizing a lot of data to make a decision, or I need to increase the speed of my decision in order to deliver or capture some other revenue for a customer. If you can get to those points as you're working through your kind of your journey on there, those may be really good areas to apply the AI type capabilities and think about the problem set that you have out there. Ultimately, at the end of the day, right, we're all trying to grow the ebitda. We're all trying to make it better for the, for the working conditions in the workforce that are there so that they can keep servicing and be excited about what they're doing. And we're all trying to do that to make sure that the customers actually get their needs met. And if you could do those things, and there's other ways they ought to get there with that, then those are the areas that we need to continue to double down on.