Credit scoring has always been an important means for financial institutions to manage credit risk. However, in the era of big data, with the introduction of external data, high-dimensional sparse data, and unstructured data, the traditional credit scoring model has major limitations, and machine learning technology has become the mainstream trend in the credit scoring field. What changes have taken place in the credit scoring model in the era of big data? How to use the power of big data and machine learning technology to build a more appropriate credit scoring model? This is a topic of great concern to many financial practitioners.

Suoxinda Holdings (3680.HK), as the preferred partner of digital transformation in China's financial industry and an innovator in data technology-driven industry applications, has long been committed to using leading solutions to help financial institutions embark on a journey of "digital transformation" and work with customers and Partners achieve business success together. To this end, we specially invited Mr. Yang Jianying, a data mining expert in Suoxinda Holdings Financial Artificial Intelligence Laboratory, to bring a theme sharing: the transformation of credit scoring models in the era of big data.

We sincerely welcome banking, insurance, securities and other financial practitioners to participate in this seminar.