Linkedin

  • Home >
  • Guidance for Near Real-Time Fraud Detection Using Amazon Redshift Streaming Ingestion

Guidance for Near Real-Time Fraud Detection Using Amazon Redshift Streaming Ingestion

Project Overview

Project Detail

This Guidance demonstrates how to use machine learning (ML) to combat fraudulent financial transactions. With AWS services, financial institutions can create an application that simulates credit card transactions. This application enables financial institutions to train and develop an ML model capable of generating near-real-time inferences. Financial institutions can then identify fraudulent transactions and use ML to predict fraud before it strikes.

https://aws.amazon.com/solutions/guidance/near-real-time-fraud-detection-using-amazon-redshift-streaming-ingestion/?did=sl_card&trk=sl_card

To know more about this project connect with us

Guidance for Near Real-Time Fraud Detection Using Amazon Redshift Streaming Ingestion