Explore the world of unstructured data analysis through language models in this comprehensive conference talk. Delve into the fundamental concepts of language modeling, from its historical roots in code-breaking to modern applications in data science. Learn how language models underpin various technologies and discover their practical applications in classification, predictive modeling, and information retrieval. Gain insights into key statistical and information theory concepts, and understand how techniques like word vectors and transfer learning have advanced the field. Through case studies and real-world examples, examine how language models can be used to identify forgeries, predict demographic information, and extract targeted insights from large datasets. Suitable for data scientists looking to expand their toolkit for handling unstructured data, which comprises the majority of available information in today's digital landscape.