Preventing fraud is a mission-critical objective of every banking institution. But those committing fraud continue to evolve their tactics to evade detection by even the best prepared organizations. But with recent advances in artificial intelligence (AI) and automated machine learning, banks are able to improve the accuracy of their fraud prevention models faster and more efficiently than ever before.
In this on-demand webinar, you’ll get an overview of the current state of machine learning in fraud detection – and learn how you can stay one step ahead of those looking to harm your business.
You’ll discover how Automated Machine Learning provides:
- The ability to develop and refresh fraud detection predictive models at any time
- The ability to deploy models with a click of a button
- The ability to operationalize fraud detection models by following a process that is user-centric