In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.
Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
Traditional techniques for identifying and countering GenAI-enabled vehicle insurance fraud are notably limited, especially ...
Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a culture of transparency, can help organizations detect fraud in a broader ...
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 ...
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
2024 MAY 30 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Research findings on science and technology are discussed in a new report. According to news originating ...
Payment disbursements are a critical component of modern commerce, but they also present a significant challenge: how to prevent fraud. Prateek Mehta, a payments expert and product manager at ...
Database design and management are essential pillars of success in the financial sector, where efficient data handling and adherence to regulatory standards are critical. The global market for ...
In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...
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