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

Getting started with UiPath Computer Vision

UiPath Computer Vision gives automation an additional capability to see a computer screen and identify elements on the page versus the traditional spying of elements through sets of properties and attributes. This unleashes the capability to intelligently interact with more complex use cases that include VDIs, unsupported applications, and even operating systems.

To interact with elements (such as text fields and buttons) on a page, traditional RPA automation leverages properties or attributes of these elements, called selectors. UiPath automation is typically compatible with most applications and able to find selectors for automation to interact with; however, there exist some technologies for which finding selectors is unfeasible, and alternate solutions are necessary.

In the past, most use cases that contained applications without findable selectors were either descoped or solved with brittle solutions such as image recognition...