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Intelligent Automation with IBM Cloud Pak for Business Automation

You're reading from   Intelligent Automation with IBM Cloud Pak for Business Automation A practical guide to automating enterprise business workflows to deliver intelligent solutions

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781801814775
Length 450 pages
Edition 1st Edition
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Authors (5):
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Suzette Samoojh Suzette Samoojh
Author Profile Icon Suzette Samoojh
Suzette Samoojh
Guilhem Molines Guilhem Molines
Author Profile Icon Guilhem Molines
Guilhem Molines
Stephen Kinder Stephen Kinder
Author Profile Icon Stephen Kinder
Stephen Kinder
Allen Chan Allen Chan
Author Profile Icon Allen Chan
Allen Chan
Kevin Trinh Kevin Trinh
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Kevin Trinh
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Business Automation and Cloud Pak Overview
2. Chapter 1: What Is Cloud Pak for Business Automation? FREE CHAPTER 3. Chapter 2: RPA, Workflow, Decisions, and Business Applications 4. Chapter 3: Process Discovery and Process Mining 5. Chapter 4: Content Management and Document Processing 6. Part 2: Use Cases and Best Practices
7. Chapter 5: Task Automation with RPA 8. Chapter 6: Chatbot with RPA 9. Chapter 7: Workflow for Process Automation 10. Chapter 8: Automating Decisions to Speed Up Your Processes 11. Chapter 9: Manage Documents with Content Management 12. Chapter 10: Extract Meanings with Document Processing 13. Chapter 11: Engaging Business Users with Business Applications 14. Chapter 12: Workforce Insights 15. Part 3: Deployment Considerations
16. Chapter 13: On-Premises and On-Cloud Deployments 17. Chapter 14: Deployment Topologies, High Availability, and Disaster Recovery 18. Chapter 15: Automating Your Operations and Other Considerations 19. Index 20. Other Books You May Enjoy

Summary

In this chapter, we learned about the four major capabilities that businesses can use to define and operationalize their automations in an intelligent automation solution. First, we talked about how RPA can be used to automate work performed by workers on their desktops, as well as to create chatbots to handle simple queries.

Then, we discussed how workflow automation can orchestrate activities across humans, robots, and systems. To add intelligence to your solution, you can express business rules and combine them with predictive logic using ML. Finally, you learned how to build business applications to provide business-friendly applications for your business users to work with all your automations.

In the next chapter, you will learn how to discover and identify what should and can be automated with Process Discovery and Process Mining.

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