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Jumio built a real-time feature store on AWS to improve fraud detection, achieving sub-100ms latency and $120K annual savings, offering a model for MENA enterprises to enhance AI infrastructure.

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Jumio builds real-time feature store on AWS, cutting fraud detection costs

Overview

FAQ

What is a real-time feature store?

It's a centralized system for storing and retrieving data features (like user attributes) in real time, allowing AI models to access data quickly for immediate decisions such as fraud detection.

How does this solution compare to traditional methods?

Traditional methods rely on separate databases or batch processing, causing delays. This solution achieves sub-100ms response and saves about $120K annually.

Can MENA companies adopt this approach?

Yes, especially in finance and e-commerce, where fraud detection can be improved and costs reduced using AWS services available in the region.

Source: AWS Machine Learning

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