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 ...

With large masses of data distributed across numerous storage centers, machine learning has been invaluable as Capital One ...

As financial crime risks evolve, including those risks posed by the use of AI and other emerging technologies, so too must firms’ financial crime compliance response. It is unsurprising, therefore, ...

In the complex world of financial markets, accurately forecasting stock prices is a significant challenge. One approach relies on enhancing the information from stock market anomalies, factors ...

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 ...

In quantitative trading research, a significant amount of time is spent on model architecture, feature engineering, and ...

Overview:  Fraud detection technologies use AI, machine learning and transaction monitoring to identify potentially fraudulent financial activity. By ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. As machine learning continues to reshape the financial services industry, most headlines are ...

As advisors continue to show excitement for the potential of artificial intelligence, the financial services industry is focused on how to make the most of the burgeoning technology in the years to ...

My company, Kickfurther, has carved out a niche by connecting businesses in need of funding for their retail inventory with buyers of that inventory. A key component of this business model is the ...

Artificial intelligence and machine-learning technologies have evolved a lot over the past decade and have been useful to many people and businesses, especially in the realm of finance, banking, ...