In the competitive gaming marketplace, data plays a crucial role in enhancing player experience and engagement, with telemetry traditionally used to capture in-game events and player properties. However, in-game chat offers a flexible and insightful alternative, enabling developers to analyze player behavior and sentiment without significant operational overhead. By employing machine learning for tasks like profanity filtering and sentiment analysis, developers can identify bad actors, understand player frustrations, and reward positive community contributors. Additionally, integrating AI-powered translation tools can facilitate seamless communication among global players. By leveraging chat data in conjunction with telemetry, developers can gain a comprehensive understanding of player interactions, enhance live operations, and ensure their games remain vibrant and engaging, fostering a positive community and improving overall player satisfaction.