  We address the problem of scaling up the production of media content,
including commentary and personalized news stories, for large-scale sports and
music events worldwide. Our approach relies on generative AI models to
transform a large volume of multimodal data (e.g., videos, articles, real-time
scoring feeds, statistics, and fact sheets) into coherent and fluent text.
Based on this approach, we introduce, for the first time, an AI commentary
system, which was deployed to produce automated narrations for highlight
packages at the 2023 US Open, Wimbledon, and Masters tournaments. In the same
vein, our solution was extended to create personalized content for ESPN Fantasy
Football and stories about music artists for the Grammy awards. These
applications were built using a common software architecture achieved a 15x
speed improvement with an average Rouge-L of 82.00 and perplexity of 6.6. Our
work was successfully deployed at the aforementioned events, supporting 90
million fans around the world with 8 billion page views, continuously pushing
the bounds on what is possible at the intersection of sports, entertainment,
and AI.
