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Payoneer selects Iguazio for real-time ML

Tuesday 28 January 2020 10:33 CET | News

Payoneer has selected Iguazio’s platform to provide its 4 million customers with a safer payment experience, as per Yahoo Finance.

As such, by deploying Iguazio, Payoneer moved from a reactive fraud detection method to proactive prevention with real-time ML and predictive analytics. Prior to using Iguazio, fraud was detected retroactively, enabling customers to only block users after damage had already been done. However, Payoneer is now able to take the same machine learning models built offline and serve them in real-time against fresh data, thus ensuring immediate prevention of fraud and money laundering with predictive ML models identifying suspicious patterns continuously.

Moreover, Iguazio’s Data Science Platform enables Payoneer to bring its data science strategies to life. It was designed to provide a simple cloud experience deployed anywhere, and it includes a low latency serverless framework, a real-time multi-model data engine, and a modern Python eco-system running over Kubernetes.


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Keywords: Iguazio, Payoneer, fraud prevention, real-time transactions, machine learning, ML, digital payment, payments, analytics, data, money laundering
Categories: Securing Transactions | Digital Identity, Security & Online Fraud
Countries: World
This article is part of category

Securing Transactions