Growth Hides Fraud: how Asia leads in more ways than one
Previously held on Thursday, August 8th at 11am Singapore Time
It is universally understood that mobile commerce and device usage is seeing tremendous growth in Asia. It’s a large reason why so many businesses are springing up in, or dedicating resources to, the region. Unfortunately, fraudsters are finding similar growth in their success.
“Super apps,” instant delivery, faster payment methods, and increasing customer expectations… all of these provide value to customers and fraudsters alike. So what are we to do?
Jeff Sakasegawa of Sift, veteran of Google, Facebook, and Square, covered best practices on how to utilize machine learning to help reduce your fraud while maintaining without sacrificing growth.
In this session, we covered:
• Current fraud trends in APAC
• How machine learning can assist the protection and growth of your business
• Best practices on how to leverage insights into operational teams
You may request a copy of the recording free-of-charge here.
Jeff Sakasegawa is a Trust and Safety Architect for Sift. He has spent over ten years fighting fraud for Google, Facebook, and Square. In addition, his last two years at Square were spent managing teams covering BSA/AML reviews, quality assurance, identify verification, and host of other compliance related matters. He has a passion for cross-functional and scalable solutions that delight as opposed to simply deliver.