Augmented Analytics

Chapter 7. Applied Examples

This chapter explores practical examples of applied augmented analytics, demonstrating how the concepts you’ve learned throughout the book are solving real-world problems in a variety of industries. We begin with a close look at the insurance industry, focusing on the underwriting process: the procedure by which an insurance company decides whether to offer someone insurance and at what price. But we’ll go beyond insurance to look at project management and sales workflows, showing how the same tools can lead to better decisions, faster work, and more accurate results. The goal is to show you the power of AA, no matter what industry you are in.

As we explore these examples, you’ll see that the ideas we’re talking about—augmenting workflows with AI and automation—aren’t limited to one type of job or industry. They can be adapted to many situations, helping you solve a wide range of business problems and opening up new opportunities for innovation and progress. By the end of this chapter, you’ll not only understand how to use AA in real-world scenarios, but you’ll also have ideas about how to apply it to your own work to make it more efficient and forward-thinking.

The Underwriting Process

The insurance industry is deeply rooted in assessing and managing risk through the underwriting process: a critical and complex series of steps through which insurers evaluate and price the risks associated with insuring an asset. This is traditionally a labor-intensive ...