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In the world of finance, predictive analytics can be used to predict factors such as stock prices, interest rates and even bankruptcy. There are a number of different methods that can be used for predictive analytics in finance. One popular approach is machine learning, which uses algorithms to learn from both past and dynamic current data in order to make predictions about future events. Another common approach is statistical modeling, which involves using historical data to build models that can be used to predict future outcomes.

Curious to know more about the applications of predictive analytics in the BFSI industry ? Check out our latest whitepaper, written by our founder Anne!