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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

Gathering requirements

The foundation of any successful automation is an accurate understanding of the current state process and an accurate understanding of the requirements of the future state process. Being in sync with the current state of the end-to-end process allows us to fully understand the intricacies of the automation opportunity. By gathering the requirements of the current state process, and understanding the broader objective of using automation, we can gather valuable insights to help shape the future state design of the opportunity.

Gathering the current state

During the requirements gathering phase of the automation life cycle, we start our journey by gathering the current manual steps an end user performs to complete the process we plan to automate. By gathering the details of how an end user manually completes the current state, we can search for inefficiencies within the process and start to evolve the process into a future state design, with automation and...

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