Engineer, Eight Hours, Forty Hours discussed on Inside Analysis
Context, and we'll sit there all day long, eight days a week forty hours a week or roughly eight hours a day and try and track that stop and see what's happening. What is it doing? I'll be getting. We're not getting the results you can set up metrics in alerts and things of that nature, but you still have to manage this stuff very closely. And I think certainly in the early days as you unleash some of these algorithms, you really need to pay close attention to it because it can get pretty far track pretty quickly if you're not paying attention, right? It's no different in one way. There's plenty to. Is is very different pictures. Requires someone we've Waymo skill than your average account all of them. Ninety nine. I just it's just she needs some doing. Yeah. No, exactly. But it's but it's important. So here's one of those job descriptions, silks if you're out there, you're thinking about a new career you want to take the next step in your own career. We hear all about the term data scientists, and that's certainly a good job. Data engineer is something that we need a lot of. But we're going to need lots and lots of business analysts business people who understand data who either understand how machine any works or can be trained to understand that. And those folks are going to be really at the forefront of change because those folks are going to intersect closely with operations people who manage business processes, they're going to interface with senior executives who were managing the trajectory of the company and the strategy. It's going to be very very cool and influential.