This article will explore the ways in which data science is driving change in finance, focusing on risk management, fraud detection, and other innovative applications.

Ritambhara’s journey in contributing to Fraud Detection and Anti-Money Laundering initiatives began within the credit industry, where she initially focused on data analysis and rule-based systems.

As digital finance continues to evolve at a rapid pace, so too does the complexity surrounding data security, fraud detection, and regulatory compliance. Artificial ...

USCIS’ Fraud Detection and National Security Directorate exists to determine “whether individuals or organizations filing for immigration benefits pose a threat to national security, public safety, or ...

Overview Data science transforms raw information into actionable insights, helping businesses make smarter decisions, reduce risks, and operate more efficiently ...

While direct fraud is not especially high, the use of technologies to disrupt and seek to exert undue influence over public opinion remains high.

Carpe Data launches AI-Powered ClaimsX Ultra to help streamline the claims process, reduce manual efforts and enhance fraud prevention.