"Unstructured" refers to information or data that does not have a predefined format or organization. This type of data can include text, images, videos, and social media posts, making it difficult to analyze using traditional methods. Examples of unstructured data are emails, customer reviews, and open-ended survey responses. In contrast to structured data, which is organized in a fixed format like spreadsheets or databases, unstructured data requires advanced techniques for processing and analysis. Technologies such as natural language processing and machine learning are often used to extract valuable insights from unstructured data sources.