In the world of investment, inflation indicators play a pivotal role in planning for the future. Hedge funds in particular must grapple with text-based signals that provide deep insight into the future of stocks and industries. This talk will showcase how a combination of natural language processing, semantic embeddings, and cutting-edge large language models, can help transform those signals into bankable success.