Ontologies, semantic relationships, data pipelines, data provenance (I suppose a.k.a. lineage), etc. are all things that quickly become familiar to anyone working on knowledge management.

All of these things are pretty fascinating, as they concern the meta of the meta; the nature of knowledge itself; how to slice the ineffable reality into parts and how to communicate complex things to people.

Many software engineers are happy not knowing any of those terms. This perceived boredom is part of the reason why companies, some indeed with questionable ethics, like Palantir (is there even more than one in this space?) have very little competition and are making big bucks on big contracts (and only stand to make more once ML becomes less chaotic and more structured).