AI heavy lifting isn't just model training. There's about a million data pipelines and processes before the training data gets loaded into a PyTorch tensor.
Ehhh... if you're lucky. I've seen (and maybe even written) plenty of we-didn't-have-time-to-write-this-properly-with-dataframes Python data munging code, banged out once and then deployed to production. I'll take performance gains there.
