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Democratizing Artificial Intelligence with UiPath

You're reading from Democratizing Artificial Intelligence with UiPath Expand automation in your organization to achieve operational efficiency and high performance

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781801817653

Length 376 pages

Edition 1st Edition

Tools

UiPath

Concepts

Artificial Intelligence

Authors (2):

Fanny Ip

Jeremiah Crowley

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: The Basics

2. Chapter 1: Understanding Essential Artificial Intelligence Basics for RPA Developers FREE CHAPTER

3. Chapter 2: Bridging the Gap between RPA and Cognitive Automation

4. Chapter 3: Understanding the UiPath Platform in the Cognitive Automation Life Cycle

5. Section 2: The Development Life Cycle with AI Center and Document Understanding

6. Chapter 4: Identifying Cognitive Opportunities

7. Chapter 5: Designing Automation with End User Considerations

8. Chapter 6: Understanding Your Tools

9. Chapter 7: Testing and Refining Development Efforts

10. Section 3: Building with UiPath Document Understanding, AI Center, and Druid

11. Chapter 8: Use Case 1 – Receipt Processing with Document Understanding

12. Chapter 9: Use Case 2 – Email Classification with AI Center

13. Chapter 10: Use Case 3 – Chatbots with Druid

14. Chapter 11: AI Center Advanced Topics

15. Other Books You May Enjoy

Designing the solution

Building an automation takes a lot of investment from a time and material perspective, so we must ensure that any automation deployed in a production environment is designed in a manner that incentivizes the end users of the business to continue using the automation. Focusing on the end user when designing the solution includes the following:

Choosing the correct automation type
Designing for the best user experience

By building an automation that's easy for the end user to interact with and understand, we can achieve our forecasted benefits, as the end user has a positive experience when interacting with the automation.

Choosing the correct automation type

When considering the design of a cognitive automation, one of the first decisions encountered is what automation type to leverage. With robotic process automation, there are two types of automation that impact the way end users interact with automation: attended and unattended...

The rest of the chapter is locked

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Authors (2)

Ip

Ip

Fanny Ip is a thought leader in Automation, Business Transformation, and Innovation. Currently, Fanny is the VP of the Automation Consulting Innovation Office at UiPath and leads a team of experienced management consultants to develop field-tested solutions for customers - from start-up, expand, to scale. Before joining UiPath, Fanny co-led McKinsey's Automation practice in North America and developed automation strategies for CxOs to deliver top-line revenue growth and achieve bottom-line impact. Before automation, Fanny has also led many business transformation projects at PwC Advisory and Deloitte Consulting. Fanny earned a BA in Economics from the University of Chicago and an MBA from the Anderson School of Management at UCLA. Originally from Hong Kong, Fanny resides in Los Angeles with her family.

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Crowley

Crowley

Jeremiah Crowley is a multi-disciplined developer with a wide technical and operational lens. His initial passion for software development and implementation led him to automation and process efficiency. He enjoys working on and solving problems irrespective of size and technology. Jeremiah received his BA in Computer Science from New York University. His work history includes the likes of EY and McKinsey & Company, where he played roles within their Automation and Service Operations practices. He is currently a Director within UiPath's Automation Consulting Innovation Office, assisting organizations drive adoption and scale of automation by managing digital transformation initiatives and developing hyper-automation frameworks and methodologies.

See other products by Crowley

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