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 9: Use Case 2 – Email Classification with AI Center

A classic use for machine learning (ML) is text classification. Every organization, irrespective of the industry, has a use case for classifying text. Examples of text classification use cases include routing emails to corresponding folders or routing service requests to relevant teams. A lot of this work is still manual, requiring an individual to review the text and use their judgment to interpret and classify the text's contents. Fortunately, with UiPath's AI Center, we can create cognitive automation to apply intelligent understanding of text, potentially reducing the need for manual work.

By having a full understanding of AI Center, we will work together to build cognitive automation that can interpret and classify text. As we build a use case, we will follow a similar development life cycle as outlined in the previous chapters. We will start with understanding the current state of our automation...