The Texas Rangers Baseball Club has leveraged advanced data analytics and artificial intelligence to enhance their decision-making processes, leading to their first World Series win in November 2023. By integrating large language models (LLMs) and cloud-based solutions like Databricks and Labelbox, the Rangers' R&D team efficiently processed vast amounts of unstructured text data from scouting reports, articles, and fan content. This data-driven approach informed player drafting and trading decisions, as seen with the successful acquisitions of players like Evan Carter and Josh Young. The club also utilized AI to tailor coaching strategies and provide players with insights into opponents, increasing their on-field performance. With a focus on making data accessible to the entire organization, the Rangers plan to enhance fan engagement and experience, especially as they prepare to host the 2024 Major League Baseball All-Star Game. Alexander Booth, the club's Assistant Director of R&D, emphasizes the importance of AI in sports for optimizing player value and competitiveness, with future projects aimed at analyzing biomechanics and expanding fan outreach.