What it means
In Unsupervised Learning, the AI is given a pile of mess, unlabeled data and asked to organize it. It looks for similarities and structures on its own, grouping related items together.
Why it matters
It's powerful for discovery. It can find customer segments you didn't know existed or detect weird anomalies in financial data that might indicate fraud.