Chapter 2: Business Use Cases for Machine Learning

As a machine learning (ML) practitioner, I often need to develop a deep understanding of different businesses to have effective conversations with the business and technology leaders. This should not come as a surprise since the ultimate goal for any machine learning solution architecture (ML solution architecture) is to solve practical business problems with science and technology solutions. As such, one of the main ML solution architecture focus areas is to develop a broad understanding of different business domains, business workflows, and relevant data. Without this understanding, it would be challenging to make sense of the data and design and develop practical ML solutions for business problems.

In this chapter, you will learn about some real-world ML use cases across several industry verticals. You will develop an understanding of key business workflows and challenges in industries such as financial services and retail,...