Fraud costs banks billions every year. Traditional detection systems – based on rigid rules – catch some suspicious activity but often fail against smarter schemes. We researched how financial ...
IBM on Thursday is rolling out synthetic data sets that can be used by financial institutions like banks to combat fraud on ...
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Data Science Expert's Breakthrough Research in Fraud Detection, Anti-Money Laundering, and Marketing Analytics
Amidst the ever-evolving landscape of data-driven industries, the battleground against fraud and money laundering remains relentless. However, a ray of hope emerges from the pioneering research of ...
The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud ...
A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...
Scientific progress is built on experiments, data, research, and constant questioning. While fraud is not a new issue, big data and Artificial Intelligence present challenges that dramatically ...
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ECB hires AI startup to fight fraud in digital euro launch
The ECB stated that the awarding of tenders marks the launch of the digital euro’s second phase of preparation.
Medicare is sporadically compromised by fraudulent insurance claims. These illicit activities often go undetected, allowing full-time criminals and unscrupulous health providers to exploit weaknesses ...
The European Central Bank (ECB) has concluded a framework agreement in ranking with Feedzai, the world's leading RiskOps platform for financial crime prevention, as the first-ranked tenderer, to ...
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