The 2020 emerging AI trend is the rise of explainable machine learning

When machine learning models are applied to the banking industry and other financial fields, they need to be safe and reliable. At present, academia has developed some basic model post-interpretation methods, aimed at solving the "black box" problem of machine learning and accelerating the in-depth integration and application of AI technology in the industry. The Financial Intelligence (AI) Laboratory under Suoxinda Holdings is committed to the research and promotion of interpretable machine learning models. It has already achieved some results and applications in terms of internal interpretable models and post-event attribution analysis methods.


Especially for organizations that focus on risk and regulatory requirements, such as financial services, business department leaders will require data science teams to use models that are easier to explain, and provide documentation or audit trails on how the models are built. This is a topic that many financial practitioners face and are very concerned about. To this end, we specially invited Shao Ping, director of the AI Innovation Center of Suoxinda Holdings and senior data scientist, to bring the theme to share: the emergence of interpretable machine learning for emerging AI trends in 2020.


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


Experience it now and start the journey of digital transformation !