Alegion Blog Reducing Model Error with Data Labeling for Sports AI

Company Sportlogiq Industry Sports Alegion Offering Used Managed Services The Challenge Sportlogiq, a company that uses artificial intelligence to provide sports analytics for team performance insights and enhanced media storytelling , needed a high volume of data annotations to increase the accuracy of a player tracking system. They used Alegion’s end-to-end managed service to optimize their annotation strategy, scale up annotations to 200,000 data points, and ultimately increase model accuracy by 70%. Introducing Sportlogiq: An AI-Enabled Sports Analysis Engine Above: Sportlogiq’s analytics tool allows individual hockey players to be tracked and analyzed How do you save coaches hours upon hours of time spent watching game footage to improve their athletes’ performances? For media companies, is there a way to report game highlights and analyses faster? Enter Sportlogiq, a Montreal, Canada-based provider of modern sports intelligence through AI. The company uses machine learning models to track hockey, soccer, football, basketball, and figure skating events like goal scoring, passes, missed shots, and blocked shots, as well as metrics like ball location, player time on field, player position, and more. Sportlogiq technology can report nearly every detail of a broadcast game, with no human supervision and no time lost in playback.