All published issues. Each issue gathers the most relevant case studies of the period.
Compliance deadlines, real-world results and a widening gap in sport.
Six deployments that don't talk to fans at all. A Wi-Fi network fixes itself, a scheduling AI grades ten years of SEC calendars, and a pricing engine recalculates ticket cost in real time, all running the operational layer underneath the games.
Five deployments that decide how the event reaches the person watching it, from a Wimbledon system that explains which points turned a match to a Tour de France model writing each viewer a private version of the race.
Eight deployments live or formally announced within six weeks, as the World Cup ran its officiating, coaching analytics, command operations and emergency response simultaneously through AI, with no accountability framework published for any of them.
Seven deployments that no longer support human decisions in sport. They make the decisions themselves, from an automated strike zone in baseball to a generative pipeline producing children's content without a named author.
Five cases marking the shift from AI as a research topic to AI as an operational layer, from a Formula 1 paddock to the app where fans buy running shoes to the VAR system at the World Cup.
Ten AI deployments selected for industrial depth rather than publicity, spanning fan engagement, ticketing, venue operations, athlete performance and scouting across six months of the sports ecosystem.
Twenty multi-year deployments running from 2018 to 2026, selected not for their release date but for the depth of their sourcing: the cases the numbered issues keep returning to for comparison.