Blog
Insightful blogs and articles related to banking and financial services operations across mortgages, financial crime, commercial lending, and more.
Advanced Fraud Prevention Strategies and Technologies for BSA/AML Compliance in 2025
The year 2025 presents financial institutions with unprecedented challenges in Bank Secrecy Act (BSA) and Anti-Money Laundering (AML) compliance. Banks...
5 Key Crypto Risk Management Strategies for Banks in 2025
Despite the volatility witnessed during previous crypto cycles, blockchain technology and digital currencies have become an integral part of the...
How to Improve Accuracy in Banking with Cognitive Financial Modeling
Traditional financial modeling relies on historical data and statistical models, which, while effective, fail to capture the dynamic and psychological...
How Banks Use Real-Time Data to Improve Credit Risk & Minimize Loan Defaults
Whether it’s credit cards, mortgages, or financing automobiles and consumer electronics, consumers want instant credit decisions. However, with household debt...
How Agentic AI is Redefining Risk, Fraud, and Customer Service in Banking
The rise of Agentic AI—autonomous systems capable of making decisions, learning from interactions, and acting independently—is reshaping financial services and...
CBDCs in Banking: Opportunities and Adoption Approaches [Guide]
Central bank digital currencies (CBDCs) are digital versions of a country's fiat currency issued and regulated by its central bank....
Emerging Technologies and Strategies to Overcome Transaction Monitoring Challenges
Transaction monitoring is a critical function for financial institutions to combat financial crimes, such as fraud, money laundering, terrorist financing,...
Evolving Model Risks: Challenges and Strategies for Banks
Model risks are an emerging concern for financial institutions, as misused or flawed financial models can have serious adverse consequences....
Top 5 Model Risk Management Priorities for the Banking Industry in 2025
Banks and other financial institutions use models for credit scoring, fraud detection, pricing financial instruments, and managing risk. As models...
