[sanchezdev]

That makes sense. I'm coming from the angle of applied ML where solutions need to solve a business problem rather than advance the field of ML. In consulting many problems can't be solved well without a labeled dataset and in lieu of one, less credible data scientists will claim they can solve it in an unsupervised manner.

[MiroF]

For sure. There are counter-examples however - fully unsupervised machine translation for resource poor languages comes to mind and is increasingly getting business applications.

I think that in the future, more and more clever unsupervised approaches will be the path forward in huge AI advances. We've essentially run out of labeled data for a large variety of tasks.