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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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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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Account Opening: Why Banks Are Losing Customers
Why are some banks losing customers rather than gaining them? We investigate how tailored workflows, which are powered by machine learning, help account…
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How to Detect Fraud in Less Than Three Milliseconds
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…
0 Comments10 Minutes
Account Opening: How to Win More Customers
What can financial institutions intent on surviving disruption do to adapt to the digital world, particularly when it comes to online account opening…
0 Comments6 Minutes
Financial Crime and Technology Summit: Key Highlights
Key takeaways from the 2019 Financial Crime and Technology Summit at Money 20/20 Europe. Topics covered include AI, privacy, the future of fighting financial…
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Fighting Fraud and Financial Crime with a Single Customer View
With adept criminals exploiting weaknesses across multiple channels, how do banks fight financial crime and fraud? With a single view of the customer across…
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