In a move to enhance accuracy and security in consumer lending, Equifax has rolled out products aimed at streamlining credit ...
Mid-Day on MSNOpinion
When algorithms decide, what happens to rationality?
India is entering a new phase of decision-making. A welfare application is flagged by a computer system. A student is ranked ...
Today, a new technological revolution is emerging: quantum computing. With its unprecedented computational power, quantum computing is expected to transform everything from risk analysis and portfolio ...
AI is behind the next big evolution in the banking industry after the World Wide Web. From underwriting to fraud detection, ...
Democrats need to appreciate that welfare fraudsters aren’t just stealing money—they’re also eroding the case for a strong ...
TruthScan, a deepfake detection software, aims to protect both consumers and enterprises from AI-related fraud attacks.
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...
Research from American Banker finds that bankers are still extremely worried about fraud, but hope that raising budgets for artificial intelligence could help.
In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.
Introduction: The growing prevalence of fraud and malware, fueled by increased online activity and digital transactions, has exposed the shortcomings of conventional detection systems, particularly in ...
Financial fraud has become both more sophisticated and harder to isolate, hiding within massive streams of legitimate activity. Conventional machine learning models, long relied upon by banks and ...
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