基于图构建自定义的可视化仪表盘,智能助力反欺诈
本文节选自白皮书《智能助力反欺诈——TigerGraph金融犯罪调查工具包》。TigerGraph的实时图技术和分析工具为银行和金融服务行业提供了一个难得的机会,可以彻底转变整个反洗钱领域。基于图构建自定义的可视化仪表盘,可以大幅提高分析的有效性和决策的精准性。
本文节选自白皮书《智能助力反欺诈——TigerGraph金融犯罪调查工具包》。TigerGraph的实时图技术和分析工具为银行和金融服务行业提供了一个难得的机会,可以彻底转变整个反洗钱领域。基于图构建自定义的可视化仪表盘,可以大幅提高分析的有效性和决策的精准性。
Anna Veronika Dorogus
Machine Learning Expert
Anna Veronika Dorogush graduated from Lomonosov Moscow State University and Yandex School of Data Analysis. She used to work at ABBYY, Yandex, Microsoft and Google on Machine Learning infrastructure and Machine Learning frameworks. In 2017 she published the open-source library CatBoost, which is now one of top-3 most popular Gradient Boosting libraries, and the top 7-th most used Machine Learning framework in the world according to Kaggle 2021 review.