With any ML/AI problem, based on long weary hours doing the grunt work, the vast majority of time spent will be getting the data into some useful format. It doe

With any ML/AI problem, based on long weary hours doing the grunt work, the vast majority of time spent will be getting the data into some useful format. It doesn't matter too much how fancy you can build your models if there's nothing to train it on, or worse still, unreliable or incorrect training data. So for newly minted Math PhDs, sure go out and learn how to do some ML coding in notebooks, but if you can't get a decent dataset together to train it on it'll be all for nought. Anyone with AI/ML coding only, and no SQL, is a no hire in my book.