Jumio Builds Real-Time Feature Store on AWS for Fraud Detection
TL;DR. Jumio developed a real-time feature store on AWS, improving its machine learning models for fraud detection and achieving significant cost savings. - The architecture uses Amazon SageMaker Feature Store, Apache Flink, and Kinesis Data Streams. - It delivers sub-100ms feature serving, crucial for immediate fraud detection. - This new system centralizes data, ensures feature consistency, and reduces manual deployment efforts.
- Jumio implemented a real-time feature store on AWS for ML-driven fraud detection.
- The system utilizes Amazon SageMaker Feature Store, Managed Service for Apache Flink, and Kinesis Data Streams.
- It achieves sub-100ms feature serving latency, vital for real-time predictions.
- The new architecture resolved issues like data duplication and inconsistent feature definitions.
- Annual savings are estimated at