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The Importance of AI in Banking

Artificial intelligence, commonly known as AI, is a very powerful technology. A thoughtful implementation of AI can do wonders in automating business functions. AI has the power to transform a wide variety of industries through its application. As computer systems have evolved over time, they have become very powerful. Consequently, machines have also become very powerful and can perform many complicated tasks with ease. For example, Optical Character Recognition (OCR) is a task that even personal computers can perform easily with the help of software. However, OCR requires intelligence to translate dots from an image into characters. So, in an ideal case, OCR will be considered an area of AI. However, because of the power of machines, we tend to not consider it as an application of AI.

In this chapter, our focus is to understand what AI is and its application in banking. Banking is an industry...

Description

Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI. You’ll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you’ll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you’ll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you’ll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you’ll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you’ll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.

What you will learn

Automate commercial bank pricing with reinforcement learning Perform technical analysis using convolutional layers in Keras Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases Deploy a robot advisor to manage your personal finances via Open Bank API Sense market needs using sentiment analysis for algorithmic marketing Explore AI adoption in banking using practical examples Understand how to obtain financial data from commercial, open, and internal sources

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