Book Image

Hands-On Artificial Intelligence for Banking

By : Jeffrey Ng, Subhash Shah
Book Image

Hands-On Artificial Intelligence for Banking

By: Jeffrey Ng, Subhash Shah

Overview of this book

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.
Table of Contents (14 chapters)
Section 1: Quick Review of AI in the Finance Industry
Section 2: Machine Learning Algorithms and Hands-on Examples
Building Personal Wealth Advisers with Bank APIs

In the previous chapter, we analyzed the behavior of a sell-side of the exchange. We also learned about sentiment analysis and gained in-depth knowledge of the subject by learning how to analyze market needs using sentiment analysis. We then learned a bit about Neo4j, which is a NoSQL database technique. We then used Neo4j to build and store a network of entities involved in security trading.

In this chapter, we will focus on consumer banking and understand the needs of managing customer's digital data. Then, we will learn how to access the Open Bank Project, an open source platform for open banking. After that, we'll look at an example of wrapping AI models around bank APIs. Finally, we will learn about document layout analysis.

We will cover the following topics in this chapter:

  • Managing customer's digital data
  • The Open...