Detecting fraud in real time with Temporal Graph Networks on AWS (Part 1)

The problem

Fraud rings move faster than batch models can detect them.

Why it matters

Builds a temporal graph network fraud detector, from data generation to sub-100 ms inference on SageMaker and Neptune.

Who should read it

ML engineers, fraud data science

What you'll get

A real-time graph fraud architecture.

Series

Real-time Fraud with TGNs, Part 1 of 2

Readers

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