In order to efficiently combat fraud, financial institutions are turning to artificial intelligence (AI) and its applications such as machine learning.
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In order to efficiently combat fraud, financial institutions are turning to artificial intelligence (AI) and its applications such as machine learning.
In banking, the utilisation of AI has become more of a necessity than a “nice to have.” They are under intense pressure on multiple fronts with the rise of Fintech companies, accelerated digital disruption and widespread technological advances
Standing in the year 2020, it is very exciting to anticipate that in which direction this collaboration of AI and banking is heading towards in the next 5 years.
Finance companies have managed to use artificial intelligence for risk management very efficiently and successfully.
The finance industry is now utilizing state of art artificial intelligence technologies to intercepts these frauds as early as possible and prevent them from taking place.
Predictive analytics is the process of attempting to determine an outcome using statistics, historical data, and computer modeling. Banks and financial institutions find predictive analytics particularly useful in forecasting market movements and assessing risk. While it exhibits some similarities to […]
