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

Setting target goals

Very often, the cause of unsuccessful projects is unclear requirements, leading to unrealistic target goals. With automation, the end user (and their experience) should always be the top priority when designing a project. Automation that is developed without achievable target goals is likely to be abandoned and turned into shelfware. To mitigate this abandonment, we must understand the end user's objectives for the automation, and then set realistic target goals for success.

Setting realistic target goals early in the development process is a large preventer of abandoned automation. Too often, automation deployed into production is abandoned by end users because it doesn't perform to expectations, or doesn't fully meet the end user's requirements or objectives (Figure 5.3):

Figure 5.3 – Causes of automation abandonment

Prior to starting development, align with the end users on a set of success criteria for...