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Democratizing Artificial Intelligence with UiPath

Democratizing Artificial Intelligence with UiPath

By : Ip, Crowley
4.9 (8)
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Democratizing Artificial Intelligence with UiPath

Democratizing Artificial Intelligence with UiPath

4.9 (8)
By: Ip, 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)
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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

Summary

In this chapter, we discussed the beginning of any automation program: creating an automation pipeline. We learned about the characteristics to look for in potential automation and cognitive automation opportunities and how to lead discovery exercises to search for automation opportunities. Following this, we learned how to investigate whether an automation opportunity is the best option to implement, and then we learned how to dive deeper into the current state of the automation opportunity to optimize the process in order to capture the most value. Every automation program should have a similar goal of providing value to the business. By learning how to search for automation opportunities, how to understand the details of each opportunity, and what to probe for when dealing with cognitive automation, we can ensure the automation opportunities developed provide value to the end users that leverage them.

In Chapter 5, Designing Automation with End User Considerations, we...

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