AWS Certified AI Practitioner (AIF-C01) Study Guide

Chapter 5. Real-World AI Applications with AWS Tools

The Second Industrial Revolution, from 1870 to 1914, was a period that experienced strong economic growth, especially in the US. A key driver was the adoption of electricity, which led to the assembly line, sophisticated machine tools, improved transportation, and better communications.

Some experts say that something similar is happening with today’s AI revolution. The technology has broad applications and is expected to be a major driver of long-term growth.

Consider research from PwC. It estimates that AI has the potential to add $15.7 trillion to the global economy by 2030. This is more than the size of China and India’s output combined.

According to the report:

Our research also shows that 45% of total economic gains by 2030 will come from product enhancements, stimulating consumer demand. This is because AI will drive greater product variety, with increased personalization, attractiveness, and affordability over time.

To better understand the scale and scope of AI’s potential, it helps to examine how it’s already transforming specific domains. From visual recognition to fraud prevention, AI is redefining what’s possible across industries.

In this chapter, we’ll explore key use cases—such as computer vision, natural language processing, intelligent document processing, and fraud detection—to see the real-world impact in action.

We’ll also look at strategies and approaches for best leveraging this technology, such as selecting ...