1. It morphed into ML as the dirty secret to most ML projects is that they're predominantly about data. Put another way you can't derive a model from nothing.
2. You mentioned privacy scandals, but things like CCPA + GDPR legitimately did make larger corporations pause and ask "Do we actually need this information?" where prior to that everyone was a hoarder "just in case"
1. It morphed into ML as the dirty secret to most ML projects is that they're predominantly about data. Put another way you can't derive a model from nothing.
2. You mentioned privacy scandals, but things like CCPA + GDPR legitimately did make larger corporations pause and ask "Do we actually need this information?" where prior to that everyone was a hoarder "just in case"