My understanding in Unsupervised Learning is that -- when you want a computer to learn on its own by examining a large dataset. The goal is to establish some form of cluster or association-based grouping of data from the given input aka "Find patterns - known/unknown"
So my question is - "Now what do we do with it?" - e.g. I have now identified a pattern using Unsupervised Learning. Do I now look for Supervised Learning to empower my Data Insights work? Or, do I make decision as a human/team/committee to do certain things based on those?