What’s the difference between a product data scientist, research data scientist, and delivery data scientist? Read this blog post to discover the differences between these data science roles.
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It’s no secret that fraud has grown more complex as the payments landscape changes, but what can organizations do to improve their risk outcomes? Listen in as a Feedzai expert discusses how you can leverage AI to stay ahead of financial crime and achieve your digital transformation goals.
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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 visualization and machine learning to enable users to easily detect financial crime.
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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 strategy that enables customer-centricity.
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Can banks easily, efficiently, and effectively prevent fraud and friction during the account opening process? Learn about how real-time machine learning enables banks to do just that.
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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 crime.
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Why are some banks losing customers rather than gaining them? We investigate how tailored workflows, which are powered by machine learning, help account opening capabilities reduce friction for applicants and drive growth for banks.
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Ever wonder how a financial transaction is evaluated for risk when a machine learning platform is used? Wonder no more; we’ll show you! Watch the video to gain insight on how machine learning scores financial transactions for risk.
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