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Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets

Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...
techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
insideHPC

DataVisor Revolutionizes Fraud Detection to Catch “Sleeper Cells” Before They Strike

DataVisor announced the general availability of the DataVisor User Analytics Service, a solution that catches fraudulent user accounts at incubation stages for consumer-facing online services. The new ...
CoinTelegraph

How is artificial intelligence used in fraud detection?

How can artificial intelligence help detect fraud? Artificial Intelligence can play a crucial role in fraud management by detecting and preventing fraudulent activities. The global average rate of ...
Business Wire

DataVisor Releases New Fraud Solution to Address Real-Time Payments Fraud

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--DataVisor, the world’s leading AI-powered fraud and risk platform, announced the release of its newest solution to prevent instant payments fraud as the FedNow ...
BizTech

What Are the Benefits of Unsupervised Machine Learning and Clustering?

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...