The document explains how media intelligence uses deep learning to automatically tag sports footage with granular metadata such as players, objects, events, and camera angles. This enables faster content creation, better audience targeting, contextual advertising, and accurate sponsor visibility measurement. Visual examples on pages 6–7 show metadata for players, collisions, and camera shots, while later pages illustrate customization across baseball, Formula 1, American football, soccer, and cricket. The German Football League case study on pages 15–16 demonstrates large-scale archiving, where AI made decades of content searchable and generated millions of quality data points.

Join for free to read