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

Building a solution with AI Center

As we venture into building a use case, we can split development into the following two sections:

  1. Creating an ML skill
  2. Building automation workflows

We will start with deploying our ML skill into AI Center, and then create an automation workflow in UiPath Studio. Let's begin with creating an ML skill.

Creating an ML skill

In this section, we will create and train an ML skill for our use case with AI Center. By deploying an ML package and by loading a dataset to train and evaluate our ML model, we will build an ML skill ready to be tested with our automation workflow.

Creating an AI Center project

Before we can deploy an ML package or create an ML skill, we must first create a project in AI Center. To do so, follow these steps:

  1. Navigate to UiPath Automation Cloud and click on AI Center to get started, as highlighted in the following screenshot:

Figure 9.7 – AI Center home...