trades with an automated system (Faggella, 2).Machine learning’s impact on finance will also extend to institutions. Hedge Funds and brokerage houses are used to employing computer analysis with respect to stock trades, but with machine learning, the analysis will not be limited stock and commodity data. Social media, news trends and other data sources can be factored into the analysis and not just limit it to stock prices and trades (Faggella, 4) The consumer side of banking has already been affected and will continue to be so as a result of machine learning. It is predicted that in five years time, usernames, passwords, and security questions may be a thing of the past. Instead of facial or voice recognition as well as biometric data (fingerprints) will be the norm.
On the operations side of banking, many of the human decisions such as loan approval, credit and risk analysis, and fraud detection can be more accurately determined through the use of systems developed using machine learning.Security and surveillance are another areas that will see great new innovations as a result of artificial intelligence. Presently, video cameras are reactive in nature. If a crime or a natural disaster occurs, humans need to manually review the tapes to uncover any evidence or information about the event, if there is any. That’s changing, though. A company named IC