[dr-neptune]

These days I hear a lot of "AIML"

It doesn't make much sense to me as I've never seen anyone use anything you'd find in an AI book that you wouldn't also find in a Machine learning book

For big data, I think that the terminology waned but data engineers internalized the desire to scale everything they make to handle big data. So data engineering teams are still using things like Spark (or databricks) even if their datasets aren't big enough to need that