If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

I have to admit it: I’ve always been a nerd. I loved school. I loved university. And yes, I’m seriously contemplating a PhD, not for career advancement, but simply for the joy of diving deep into ...