Comment by btown

I'm really surprised to hear this. If anything, I'd expect that every company transitioning from

> "we want to store/retrieve thin event logs and clickstreams"

to

> "we need to store/retrieve/join thick prose from customer interactions/reviews at every layer of the stack to give our LLMs the right context"

would create a significant need for data engineering for bespoke/enterprise/retail-monster use cases. (And data analysis too, until LLMs get better at tabular data.)

Are you seeing that this transformation need is actually being sufficiently covered by cloud providers, on the ground?

Or that people aren't seeing the problem this way, and are just doing prompt engineering with minimal RAG on static help-center datasets? That seems suboptimal, to say the least.