We no longer support this browser. Using a supported browser will provide a better experience.
Please update your browser.
Synthetic Data
Customer Journey Event
Customer journey events represent sequences of lower level retail banking clients’ interactions with the bank. Example types of events include login to a web application, making payments, withdrawing money from ATM machines. The data was generated by running an AI planning-execution simulator and translating the output planning traces into tabular format.
Sample Customer journey data
References
1. Generating Synthetic Data in Finance: Opportunities, challenges and pitfalls. S Assefa, D Dervovic, M Mahfouz, R Tillman, P Reddy, T Balch and M Veloso. Proceedings of the 1st International Conference on AI in Finance (ICAIF), 2020. Also in NeurIPS 2019 Workshop on AI in Financial Services
2. Domain-independent generation and classification of behavior traces. D Borrajo and M Veloso. arXiv preprint arXiv:2011.02918.
You're now leaving J.P. Morgan
J.P. Morgan’s website and/or mobile terms, privacy and security policies don’t apply to the site or app you're about to visit. Please review its terms, privacy and security policies to see how they apply to you. J.P. Morgan isn’t responsible for (and doesn’t provide) any products, services or content at this third-party site or app, except for products and services that explicitly carry the J.P. Morgan name.