Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...
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Tech word of the day: Machine Learning - The AI technology that learns and makes life smarter
Discover how machine learning, a vital aspect of artificial intelligence, learns from data to enhance decision-making and ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Today’s fast-paced online world is underlined by systems that allow it to move that fast. Whether it’s the latest advancements to transport systems, faster internet connections, or more real-time ...
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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 ...
The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Matt Swann The rise of ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Fraud detection is a high-stakes game of cat and mouse, with retail businesses continually adapting to outsmart increasingly sophisticated fraudsters. As ecommerce losses from online payment fraud ...
A new machine learning breakthrough outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud ...
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