Organized crime rings are systematically and methodically targeting the financial services value chain with sophisticated card fraud, application fraud, and account takeover attacks. And as these threats continue to escalate, financial institutions are under intense competitive pressure to make the banking experience easier and frictionless.

 

Machine learning represents an important tool that financial services firms can use to improve detection and reduce false positives. The market is seeing increasing adoption of tools that empower the citizen data scientist at financial services firms to build and deploy machine learning models quickly and frequently, which is an important leap forward given the rapid progression of fraud. There’s no silver bullet, however, and effective deployment of this technology should be viewed as an ongoing journey, rather than a finite destination. This session will help FI executives better understand key considerations to consider as they deploy machine learning technologies.