Content, in the form of text, contains value that can only be realized if it can be found. Content analytics unlocks business value from unstructured textual data via semantic technologies, such as Natural Language Processing (NLP) to answer important questions. It creates rich metadata by linguistically parsing every sentence within vast amounts of unstructured content and annotating data to make it vastly more findable. Yet, the best content analytics tools go beyond simply "tagging" content to carefully identify key concepts, context, meaning and entities and automatically categorize these according to taxonomy. Using the power of artificial intelligence (AI), content AI analytics takes business intelligence software tools to the next level with rapid and accurate sentiment analysis, classification, social listening, PII detection and more for tangible and complete business outcomes.