Machine Learning Is One of the Best Ways to Solve That Problem

5min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

A strategy is about understanding what are the problems we're trying to solve at an orgue level, right? And that cascades into the operational plan, which is, what are the head count we're going to have. The tactical piece is every what are what are the projects that mow, tim and mike are going to be working on over the next sprint or two or three. But your strategy isn't about the machine learning problems that you're going to solve in the next quarter. It's what are the business things we need to move and then you figure out the pieces with the resourci you have to get there. I do feel like that's one of those things

If you're like most data workers, you probably spend a little bit of time reacting to and servicing data requests, a bit more time on some larger analysis projects, and then you've got a big pile of free time where you're wondering what else you should be doing. Oh. No? You're absolutely drowning in work and questioning whether you're actually providing value? Yeah. That's actually much more common. We were just kidding with that opener. The great news, though, is that Emilie Schario joined us to talk about different tactics (strategies?) for finding the capacity to do more and better work, regardless of your level in your organization. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.