A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

The financial services sector has always been one of the most heavily regulated industries in the world. From anti-money laundering (AML) directives to Know Your Customer (KYC) requirements, ...

A man stands next to an AI (artificial intelligence) logo at the Mobile World Congress (MWC), the telecom industry's biggest annual gathering, in Barcelona on February 27, 2024. In the realm of ...

DUBLIN--(BUSINESS WIRE)--The "AI and Machine Learning in Business Market: Market Size, Trends, Opportunities and Forecast By Industry Vertical, Application, Component, Region, By Country: 2020-2030" ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

In the realm of anti-money laundering (AML) and counter-terrorist financing (CTF), the deployment of artificial intelligence helps scour transaction networks to identify hidden patterns that indicate ...