This document summarizes a presentation about using machine learning in Java 8 at Fumankaitori.com. The presentation introduces the speaker and their company, which collects user dissatisfaction posts and rewards users with points that can be exchanged for coupons. Their goal was to automate point assignment for posts using machine learning instead of manual rules. They trained an XGBoost model in DataRobot that achieved their goal of predicting points within 5 of human labels. For production, they achieved similar performance using H2O to train a gradient boosted machine model and generate a prediction POJO for low latency predictions. The presentation emphasizes that machine learning is possible for any Java engineer and that Java 8 features like streams make it a good choice for real