Payoneer Using Real-Time AI for Fraud Prevention

Payoneer Case Study

Payoneer chose the Iguazio Data Science & MLOps Platform to bring its most intelligent data science strategies to life.

With Iguazio, Payoneer can now deploy and run its predictive machine learning models in real time.

The result -  a scalable and reliable fraud prediction and prevention model that analyzes fresh data in real-time and adapts to new threats, thus making fraud attacks almost impossible on Payoneer.



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About Iguazio

Iguazio’s MLOps platform enables enterprises to build and deploy automated machine learning pipeline, drastically shortening the time required to create real business value with AI. Using Iguazio, organizations can accelerate deployment of AI to production and enable the continuous rollout and management of new AI services, even at scale and in real time. Iguazio can be deployed anywhere (multi-cloud, on-prem or hybrid), to bring to life your most ambitious AI-driven strategies. Enterprises spanning a wide range of verticals use Iguazio to solve the complexities of MLOps and create business impact through a multitude of use cases such as fraud prediction, real-time recommendation engines and predictive maintenance. Iguazio raised $72M and is partnered with dozens of technology companies including NetApp, NVIDIA, Dell, Intel, Microsoft, AWS and Google. Iguazio brings data science to life.

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