Advances in Fraud Detection with Automated Machine Learning
Join DataRobot, Dec 13, for a webinar discussion 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.
Preventing fraud is a mission-critical objective of every financial institution, including fintechs. But those committing fraud continue to evolve their tactics to evade detection by even the best prepared organizations.
Machine
learning represents one of the best defenses for detecting fraud before it creates lasting financial and reputation damage to a company. DataRobot, the world's leading automated machine learning platform, helps to power some of the best fraud prevention tools for leading fintechs.
Join us
for a webinar discussion 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
Speakers:
Justin Dickerson, GM of Global Fintech, DataRobot
Igor Veksler, Customer-Facing Data Scientist, DataRobot
