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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

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801817653
Length 376 pages
Edition 1st Edition
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Authors (2):
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Fanny Ip Fanny Ip
Author Profile Icon Fanny Ip
Fanny Ip
Jeremiah Crowley Jeremiah Crowley
Author Profile Icon Jeremiah Crowley
Jeremiah Crowley
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Table of Contents (16) Chapters Close

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

Deploying your own custom models to AI Center

Our examples in previous chapters have all leveraged out-of-the-box ML models developed and trained by UiPath or the open source community. While these out-of-the-box models may fit most use cases, there may be times when you have a custom ML model that you would like to leverage with automation. UiPath AI Center makes it very easy to deploy pre-made Python or AutoML models. In this section, we'll cover the following:

  • Preparing a Python model for AI Center
  • Deploying to AI Center
  • Interacting with UiPath automation

After covering these points, you should have the skills necessary to deploy your own pre-built models into UiPath AI Center.

Preparing a Python model for AI Center

Before we can deploy a Python model into AI Center, there are a few requirements that we need to add to the Python model. These requirements can be separated into requirements for serving the model and requirements for training the...

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