Machine learning applications effectively analyze unstructured data by leveraging algorithms that can process diverse data types, including text, images, and audio. Techniques such as natural language processing enable the extraction of insights from textual data, while computer vision can interpret visual content. By utilizing transformer models and feature extraction methods, machine learning identifies patterns and relationships within unstructured data, thereby converting it into structured formats suitable for analysis. This capability enables businesses to derive valuable insights for strategic decision-making and enhance operational efficiency.