In the past three years, League of Legends has rapidly grown to be the "most played PC game in the world" (Forbes). Massive amount of gaming hours generated massive amount of data. Making sense of this level of data is a challenge, particularly since “Big Data” is still a relatively new concept in the gaming industry. In this presentation, Renjie will talk about why gaming industry needs analytics and the lessons & takeaways from expanding the analytics discipline. Renjie will also share how they use predictive analytics to improve League of Legends and go into detailed examples of how they empower and partner with other teams to improve players’ experience and make date informed decisions.
Head of Data Science
Renjie Li manages the predictive analytics team at Riot Games. The team uses advanced analytics and machine learning models to better understand and service League of Legends players worldwide. Before Riot, Renjie was a predictive analytics researcher at Blizzard Entertainment and received his Ph.D. in brain and cognitive sciences at the University of Rochester. Renjie is also one of the few doctors in the world whose Ph.D. study focused on gaming research.