Book Image

Democratizing Artificial Intelligence with UiPath

By : Fanny Ip, Jeremiah Crowley
Book Image

Democratizing Artificial Intelligence with UiPath

By: Fanny Ip, Jeremiah Crowley

Overview of this book

Artificial intelligence (AI) enables enterprises to optimize business processes that are probabilistic, highly variable, and require cognitive abilities with unstructured data. Many believe there is a steep learning curve with AI, however, the goal of our book is to lower the barrier to using AI. This practical guide to AI with UiPath will help RPA developers and tech-savvy business users learn how to incorporate cognitive abilities into business process optimization. With the hands-on approach of this book, you'll quickly be on your way to implementing cognitive automation to solve everyday business problems. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will help you understand the power of AI and give you an overview of the relevant out-of-the-box models. You’ll learn about cognitive AI in the context of RPA, the basics of machine learning, and how to apply cognitive automation within the development lifecycle. You’ll then put your skills to test by building three use cases with UiPath Document Understanding, UiPath AI Center, and Druid. By the end of this AI book, you'll be able to build UiPath automations with the cognitive capabilities of intelligent document processing, machine learning, and chatbots, while understanding the development lifecycle.
Table of Contents (16 chapters)
1
Section 1: The Basics
5
Section 2: The Development Life Cycle with AI Center and Document Understanding
10
Section 3: Building with UiPath Document Understanding, AI Center, and Druid

Summary

In this chapter, we covered the development milestone of the automation development life cycle by diving into further understanding the cognitive tools provided by UiPath. We learned about the basics of Document Understanding, AI Center, and Computer Vision to understand how we can tie each tool into an automation workflow.

The tools we reviewed in this chapter are the building blocks for cognitive automation. By learning about the basics of each of these tools, we now have added tools to our automation toolkit that we can use in future use cases. This introductory understanding of these tools will help us in subsequent sections where we leverage them again to build actual use cases.

In Chapter 7, Testing and Refining Development Efforts, we will take the next step with cognitive automation opportunities by learning about how to prepare a cognitive automation opportunity for testing and UAT. In the next chapter, we will learn how to gather test data and create test...