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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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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

Modeling – decision models and task models

As mentioned previously, it’s important that the business can own the decisions—that is, the people in charge of defining enterprise policies should also be the ones in charge of using the tooling to model the decisions, by using a format that both the human and the machine can understand unambiguously.

Examples of decisions that can (and should!) be automated are listed here:

  • In the insurance space, claim processing includes a lot of automated (or automatable) decisions, such as fraud detection, automatic claim payment when common conditions are met, automatic rejection of incomplete cases, routing to the proper adjuster based on the claim topic, and so on
  • In the banking sector, we can think about all automation of online banking, which requires decisions related to accounting management, money transfer validation, account opening and closing verifications, compliance with international transactions with...
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