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
Real-World Considerations

This chapter serves as the conclusion of the book. It wraps up the near-term banking world we will soon be living in. We will also add some useful tips on the considerations required to incorporate these AI engines in day-to-day production environments. This part corresponds to the business understanding step of the CRISP-DM, the approach for implementing any data mining project that we introduced in Chapter 1, The Importance of AI in Banking.

In this chapter, we will first summarize the techniques and knowledge that you learned throughout chapters 2 to 9, and then we will cover the forward-looking topics that will be an extension of our journey in banking. These are the topics and knowledge that will be covered:

  • Summary of techniques covered
  • Impact on banking professionals, regulators, and governments
  • How to come up with features and acquire the domain knowledge...