Named Entity Recognition (NER) is a crucial NLP technique that involves detecting and categorizing specific entities within unstructured text, such as people's names, organizations, locations, dates, and numerical values. It helps systems understand context, extract meaningful information, and enable advanced applications like search engines, chatbots, and information retrieval by accurately identifying key elements in natural language data.