3 books on AI for Banking [PDF]

The main applications of AI in banks can be divided into four areas:

First - is customer journey personalization. Banks need to make the customer experience more personalized by enhancing communications with AI-enabled text, visual and voice chats. Chatbots not only increase response speed but also improve the quality of service. AI is also used to generate personalized financial recommendations for clients.

Second is credit scoring. Banks are increasingly abandoning traditional scoring models in favor of AI algorithms that take into account more parameters, including persons' social media footprint.

Third is robo-advising and algorithmic investments. Predictive models are a key tool for the investment department of most banks. However, their effective use requires a large volume of historical data.

Fourth is fraud prevention. AI identifies suspicious transactions in real time with over 90% accuracy, helping to detect money laundering schemes and unscrupulous clients.

Here are the best books on the use of AI in banks:

1. Artificial Intelligence for All: Transforming Every Aspect of Our Life
2020 by Utpal Chakraborty


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2. Artificial Intelligence in Financial Services and Banking Industry
2020 by Dr. V.V.L.N. Sastry


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3. AI and the Future of Banking
2020 by Tony Boobier


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