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

Exploring the gap between RPA and cognitive automation

The spectrum of office work comprises activities that require different degrees of cognitive skills. Software companies have developed automation technology to tackle one or multiple areas.

The following diagram shows the available technologies across the spectrum of office work:

Figure 2.2 – The automation technology stack

RPA, application programming interface (API), ERP, and business process management (BPM) belong to a class of automation technologies that reduce the manual efforts of rule-based digital activities. AI, ML, and NLP belong to another class of automation technologies. They reduce the manual effort of activities that require cognitive thinking.

As you learned in the preceding section, almost all activities have rule-based and cognitive components. Until recently, there were no platforms that allowed for seamless integration of these different technologies. Businesses look...