Futureproofing Your Architecture for Payments Fraud Detection
Evolving from rules engines to real-time machine learning with the Hazelcast Platform.
As payments fraud continues to rise, fraud specialists, enterprise architects, data scientists, and machine learning engineers face increasing pressure to detect and prevent fraudulent transactions quickly and accurately.
In this webinar, we will discuss the challenge of contending with new emerging, sophisticated fraudulent activities and how the use of machine learning (ML) has emerged as a key strategy to reduce the rate of prediction errors.
Attendees will learn how:
- To accelerate existing fraud detection solutions with real-time stream processing and machine learning operations capabilities.
- To orchestrate rules engines and ML models in real-time.
- A leading card issuing bank saves millions of dollars each year using The Hazelcast Platform.
Who should attend?
This webinar is intended for fraud specialists, enterprise architects, data scientists, machine learning engineers, and professionals in banking, financial services, and e-commerce. Join us (and invite your technical colleagues to join!). Learn how The Hazelcast Platform can help your business stay ahead of fraudsters.
Can’t attend the live times? You should still register! We’ll be sending out the recording after the webinar to all registrants.