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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Point-of-Compromise Fraud Detection

By: ElectrifAi LLC Latest Version: 1.0.0

Product Overview

Detect compromised merchants or terminals faster with improved accuracy so networks can take timely actions to prevent more credit cards from being compromised. Our solution generates prioritized lists of potentially compromised merchants so the network can focus the investigation on the most likely and severe compromised systems. The models identify warning signs and geographically map possible instances of Point-of-Compromise (POC) fraud to streamline investigative work. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact info@electrifai.net for subscription service pricing. SKU: POCFD-PS-CCN-AWS-001

Key Data

Version
By ElectrifAi LLC
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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End User License Agreement

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This product is offered for free. If there are any questions, please contact us for further clarifications.

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