Natural Language Processing (NLP) is another important branch of artificial intelligence in which machine systems are developed to understand, interpret, and manipulate human language. Together, artificial intelligence and natural language processing for business are a powerful combination, helping to automate processes, improve customer experiences, and gain insights from large amounts of unstructured data.

NLP research has roots in automatic translation and similar projects dating back to the early 1950s. Today’s NLP technology can take human language, break it down into individual pieces, categorize words or phrases, and then automatically derive the underlying meaning and relationships. More recently, advanced NLP techniques using deep learning have been applied to automatically learn grammatical rules, linguistic habits, and contextual patterns to create powerful pretrained language models like BERT and GPT-3. These models can then be used to understand, analyze and even generate new text and speech and are powering new classes of AI-powered applications that never existed before. NLP technology has enormous implications for businesses and organizations, enabling them to extract knowledge and insights from written and verbal sources to use for analysis and information retrieval.