A University of Bath researcher has created an algorithm which aims to remove the elements of chance, bias or emotion from investment banking decisions, a development which has the potential to reduce ...

When asked why Americans would trust a good deal of their finances to algorithms, Forrester Principal Analyst Peter Wannemacher likes to begin his answer by telling a story about his in-laws. Decades ...

We live in an age where payments to other individuals or companies can be made with a single push of a button on a smartphone, where purchases can be made in an instant, and where loans can be applied ...

Artificial Intelligence has moved from the periphery of banking to its core. Credit decisions, fraud detection, risk scoring, collections, customer service, and even regulatory reporting now rely on ...

Algorithms are extremely clever at accurately processing huge quantities of information. But a recent problem with a bank loan is a disturbing look behind the curtain. Last week I applied for a ...

For nearly a decade, the financial industry has been obsessed with the wrong race. Banks have focused on who can deploy the smartest models, the fastest algorithms, or the most advanced AI platforms.

Real-time gross settlement systems (such as Fedwire, run by the Federal Reserve), post accounting entries for each payment on the central banks’ books — where each payment sent or received impacts the ...

Men walk near a logo of Deutsche Bank AG in Tokyo in this July 16, 2014 file photo. Reuters/Toru Hanai/Files (Reuters) - The New York banking regulator is investigating if Deutsche Bank and Barclays ...