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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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Data Science: 3 Different Data Scientist Types
What's the difference between a product data scientist, research data scientist, and delivery data scientist? Read this blog post to discover the differences…
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Understand the Shape of Financial Crime with Feedzai Genome
Financial crime is becoming increasingly complex, making criminal behavior harder to identify. Take for example the credit card fraud scam that resulted in…
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How Data Visualization Reveals the Shape of Fraud
As fraud grows more complex, it becomes trickier to identify questionable patterns and catch fraudsters in the act. Learn about our journey to leverage data…
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Account Opening: How to Efficiently Acquire Target Customers
Can banks easily, efficiently, and effectively prevent fraud and friction during the account opening process? Learn about how real-time machine learning…
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Why It’s So Hard for Challenger Banks to Fight Financial Crime
Challenger banks must protect their customer experience, yet, they also need to prevent fraud and be compliant. How can they accomplish this? With a risk…
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Casting Deep Learning Nets on Financial Crime
Can deep learning improve fraud detection models? Read about our exploration into recurrent neural networks and how they can be used to help prevent financial…
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