NYC Fraud Summit: Using Big Data Analytics to Improve Fraud Detection
Laura Stock, Solution Manager, Equifax Identity and Fraud Solutions, will present on Big Data Analytics & Fraud Detection at the NYC ISMG Fraud Summit on October 20, 2015 at the Hyatt Andaz Wall Street.
As the identity and fraud threat landscape evolves, implementing appropriate verification and authentication protections for fraud detection is a business imperative. Integrating and analyzing data to create useful, actionable information has proved highly challenging.
Conference participants will hear from Stock on how to:
- Limit true-name and synthetic ID fraud by leveraging multiple data sources
- Minimize friction by introducing appropriate authentication protections at key touch points
- Reduce false positive rates by incorporating fraud modeling
Click here for more information and to register for the event.
Recommended For You
Financial institutions are struggling to keep up with evolving fraud tactics. They tell us their top areas of concern are […]
Leveraging a Faster Model Development Environment for Data Analytics Moving from data to insights is no easy feat for today’s […]
It’s no secret that big data can spur innovation — even disruption — but it can also complicate marketing initiatives. […]
The Data Science Lab is the heart of innovation at Equifax. In this interview, Chris Yasko, Interim Enterprise Innovation Officer, pulls back […]