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

Chapter 1: Understanding Essential Artificial Intelligence Basics for RPA Developers

In this chapter, we will cover some key artificial intelligence (AI) concepts that are relevant in your daily work as an RPA developer. We will discover where a robotic process automation (RPA) developer can make the most impact on implementing cognitive automation in RPA use cases without becoming a data scientist. We will also look at real business problems today that are solved by AI.

In this chapter, we will cover the following main topics:

  • Understanding key AI concepts
  • Understanding cognitive automation
  • Exploring out-of-the-box (OOTB) machine learning (ML) models for RPA developers

By the end of the chapter, you will be equipped with common AI fundamentals, and you will be inspired by real-life examples to help you start thinking about how to apply AI to your potential use cases.