Futureproofing Your Architecture for Payments Fraud Detection
Discover the Power of Real-time Machine Learning for Fraud Detection
As payment fraud continues to surge, the need for quick and accurate detection and prevention has never been more crucial. Fraud specialists, enterprise architects, data scientists, and machine learning engineers are under immense pressure to keep up with emerging, sophisticated fraudulent activities.
Don’t miss this Hazelcast webinar which delves into the challenge of combating new fraudulent tactics and explore how machine learning (ML) has become a key strategy in minimizing prediction errors.
In this webinar, you will learn:
- How to enhance your existing fraud detection solutions by leveraging real-time stream processing and machine learning operations.
- Techniques for orchestrating rules engines and ML models in real-time to optimize fraud detection.
- How a leading card issuing bank saves millions of dollars annually using The Hazelcast Platform.
Who is this for?
This webinar is tailored for fraud specialists, enterprise architects, data scientists, machine learning engineers, and professionals in the banking, financial services, and e-commerce industries.
To watch, fill in the form on the right.