alt Hacker NewsI also have pretty hefty skepticism that AI is going to magically account for the kinds of weird-ass edge cases that one encounters during a large data migration.
Replies
It's not that AI is magically going to do it, it's that the human running the migration now has better tools to generate code that does account for those one-off edge cases.
I was interviewing with a company that has done ETL migration, interop and management tools for the healthcare space, and is just dipping their toes in the "Could AI do this for us or help us?"
Their initial answer/efforts seem to be a qualified but very qualified "Possibly" (hah).
They talked of pattern matching and recognition being a very strong point, but yeah, the edge cases tripping things up, whether corrupt data or something very obscure.
Somewhat like the study of MRIs and CTs of people who had no cancer diagnosis but would later go on to develop cancer (i.e. they were sick enough that imaging and testing was being ordered but there were no/insufficient markers for a radiologist/oncologist to make the diagnosis, but in short order they did develop those markers). AI was very good at analyzing the data set and with high accuracy saying "this person likely went on to have cancer", but couldn't tell you why or what it found.
Just like coding the AI can reach out to a human for clarification on what to do.