Using ML on nodes and edges of financial networks to more accurately identify fraud
Teaching intelligent assistants to understand and generate natural language
Creating transparency and ensuring fairness through explaining ML models
Identifying changes in data to protect customers and adapt to fluctuating environments
Developing models and techniques for protecting sensitive customer data
Building systems to scale the entire model building and deployment process
We partner with the nation’s top universities to further research on AI/ML explainability, fairness and ethics.
We're sponsoring and attending several AI and ML conferences. Check out where we'll be next.
Come help us change banking for good by using technology to serve our customers quicker and more easily than ever.
Industry codes are required in many financial models, how can machine learning help impute missing or incorrect codes?
Data, modeling, and process issues can hold your machine learning efforts back—but they don't have to