Does your company manage LLM implementation as an IT issue or a data science challenge?

Background:

In our company, the IT team has been given full control over our language models along with restricted API access, despite their limited experience with data analytics. Notably, no data science experts have been consulted to evaluate the design or feasibility of our use cases. I am curious whether other organizations typically follow this approach or if they involve data specialists from the outset to ensure practical implementation.

hey, i rstill wonder if blending it with data pros isnt a bad idea. hav u seen cases where their collab really improved things? what do u think could be the best way to work together?