MLOps for League of Legends - Heimerdinger Toolbelt

League of legends faces lots of interesting problems in the data space that are unique due to the video game aspect. How do you deploy and train models in a binary video game? How has the data and ML stack changed since the league's inception in 2009? How do you do player-facing ML (Lane detection, feeding detection, etc.) and decision science at this scale?