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The Rise of Machine Learning and AI in the Fraud Prevention Industry

13% of organizations today have adapted Machine Learning and AI into their fraud detection protocols. Another 25% of organizations plan on converting from a rule-based system within the next two years. Read More

 
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Best Practices for Achieving Success with Custom Modeling and Machine Learning

One of the most common reasons organizations fail to realize significant improvements in risk management after implementing custom modeling solutions can be described with one phrase: Junk in. Junk out. This article discusses best practices as it relates to data management and other factors that are shown to improve performance when it comes to custom

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Custom Modeling for Risk Management Requires Human Element, Not Just AI

While there is value in leveraging Artificial Intelligence for modeling and analytics to detect cyber threats and fraud, security professionals are still more likely to indicate that a human touch is more valuable. A recent survey found that half of organizations are making use AI or machine learning but 60 percent put more trust in

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