I don’t work directly with machine learning, but I’ve seen some cool use cases in our analytics department. They’ve been using predictive models to forecast staffing needs based on seasonal trends and past performance. It’s still a work in progress, but early results look promising. From what I’ve gathered, it’s less about fancy algorithms and more about having clean data and a clear goal. Seems like even simple models can add value if they’re well targeted.