Blog
Insightful blogs and articles related to banking and financial services operations across mortgages, financial crime, commercial lending, and more.
Machine Learning Operations (MLOps) in Banking – Automating the Model Lifecycle for Continuous Risk Management
In today's data-driven financial landscape, machine learning operations (MLOps) have emerged as a critical framework for banking and financial institutions...
How Blockchain Forensics Transforming the Cryptocurrency AML Compliance Landscape
Cryptocurrencies have revolutionized finance through decentralization, borderless transactions, and innovative financial products. However, these same features create significant anti-money laundering...
Credit Risk Management 2.0 – Why Real-Time Data and AI Are No Longer Optional
Banks are facing a watershed moment. With inflation swinging wildly, interest rates climbing, and consumer behaviors shifting unpredictably, traditional approaches...
Stress Testing for Crypto-Exposed Portfolios — Methodologies and Regulatory Insights
As cryptocurrencies become more integrated into the financial system, U.S. banks and financial institutions face growing expectations to manage the...
How Leading Banks Validate AI and Machine Learning Models Differently
With regulatory expectations evolving and AI models becoming more common, model validation is no longer a background task. It’s a...
How AI-Driven Sentiment Analysis and Behavioral Analytics is Transforming Banking
In today's data-driven financial landscape, traditional modeling approaches are increasingly falling short. As market volatility intensifies and customer behaviors evolve,...
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...
