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Fraud
Banks are expected to offer a seamless customer experience while also stopping fraud in its tracks. Learn how banks can balance these goals and manage risk effectively in the digital banking era.
Collection • 10 Articles
Covid-19
The global coronavirus pandemic caused widespread disruption to numerous industries. Learn how machine learning technology helps organizations adjust to unpredictable conditions and stay vigilant against fraud.
Collection • 9 Articles
AML
Criminals launder money to disguise their illegal activities and make their funds look legitimate. Learn how banks and regulators can stay ahead of the latest anti-money laundering (AML) trends.
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PSD2: What You Need to Know in 2019
A year after European Union member states were required to implement the Payments Service Directive 2 (PSD2), additional 2019 deadlines have already been…
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Is an Omnichannel Strategy Right for Credit Unions?
The new banking landscape requires credit unions to adapt and evolve to keep up with member demands. Many of these changes require credit unions to not only…
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How Holistic Fraud Management Combats Merchant Fraud
Merchant fraud is an ongoing concern for acquirers. It’s usually more sophisticated than consumer fraud, and it’s often more difficult to track.
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OpenML DEMO: WATCH US TRAIN A MODEL OUTSIDE FEEDZAI, AND BRING IT ON IN
The OpenML Engine from Feedzai, launched just last week, represents the first-ever service that allows data scientists to bring their preferred approaches to a…
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MEET FEEDZAI’S OpenML ENGINE: “BRING YOUR OWN MACHINE LEARNING” TO FIGHT FRAUD
The amount of progress being made in the machine learning and data science communities is staggering. As new algorithms, approaches and tools proliferate, and…
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Improving Fraud Detection: Rules vs Machine Learning Models
It is standard practice in managing payments to block potentially fraudulent transactions via a set of rules. These rules can be very effective in mitigating…