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 ...
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 ...
At this year’s Money20/20, Unit21, a global risk and compliance technology leader, announces the launch of the AI Rule ...
Trintech, the global leader in AI Financial Close solutions for the Office of Finance, today announced it has been named a ...
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 ...
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 ...
The Register on MSN
Machine learning saves £4.4M in UK.gov work and pensions fraud detection
Poor data standards across government hamper scaling, says Parliament spending watchdog The UK government's Department for ...
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 ...
GREENWICH, Conn.--(BUSINESS WIRE)--AQR Capital Management, LLC (“AQR”), a global quantitative investment management firm, today announced that Marcos López de Prado has joined the firm as a Principal ...
Artificial intelligence (AI) and machine learning (ML) models are mathematical models that find pre-existing relationships in data. These are powerful techniques successful across industries, but when ...
Financial technology—frequently abbreviated as FinTech—can be defined as a technology used to provide a financial product or service to financial markets. But this broad definition is not entirely ...
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