Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Certified public accountants (CPAs) can leverage agentic AI to help streamline their workflows and save more time. This tech ...

About 2.5 billion people around the world are underserved by traditional financial institutions. For traditional banks and loan companies, these individuals technically don’t even exist: According to ...

The financial services industry is using machine learning to revolutionize its processes and rapidly improve financial outcomes, and its potential seems limitless. That’s why the University of ...

Technology in financial services can be somewhat of a double-edged sword. On one side, new technological innovations, like artificial intelligence (AI) and machine learning (ML), are striving to make ...

This report from Feedzai, 'Demystifying Machine Learning for Financial Institutions', looks at how machine learning operates, and how it can impact the way banks detect and prevent known types of ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

The financial sector is anticipated to experience a notable surge in fraudulent activities, leading to projected losses exceeding $40 billion by 2027. This increase marks a significant uptick from ...

Robots have replaced thousands of routine jobs on Wall Street. Now, they’re coming for higher-ups. That’s the contention of Marcos Lopez de Prado, a Cornell University professor and the former head of ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...