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RPA Solution Architect's Handbook

You're reading from   RPA Solution Architect's Handbook Design modern and custom RPA solutions for digital innovation

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781803249605
Length 302 pages
Edition 1st Edition
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Author (1):
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Sachin Sahgal Sachin Sahgal
Author Profile Icon Sachin Sahgal
Sachin Sahgal
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Table of Contents (25) Chapters Close

Preface 1. Part 1:Role of a Solution Architect
2. Chapter 1: Why Do We Need a Solution Architect? FREE CHAPTER 3. Chapter 2: Case Study of a Banking Client 4. Chapter 3: Extracurricular Activities 5. Part 2:Being Techno/Functional
6. Chapter 4: Studying the Lay of the Land 7. Chapter 5: Designing Framework for Consistency and Resiliency 8. Chapter 6: Need for Documentation and Working with SIT/UAT Scripts 9. Chapter 7: RPA Development Phases 10. Chapter 8: Customer Obsession in the RPA Journey 11. Part 3: Tool Agnostic Approach
12. Chapter 9: Intelligent Automation 13. Chapter 10: Hyperautomation: The Future of RPA 14. Chapter 11: Reusable Components 15. Chapter 12: RPA as a Service (RPAaaS) 16. Chapter 13: Finding the Best Solution 17. Part 4:Best Practices
18. Chapter 14: Design Best Practices 19. Chapter 15: Data, Security, and Logs 20. Chapter 16: Key Performance Indicators (KPIs) 21. Chapter 17: Reporting, Analytics, Efficiency, and Efficacy 22. Epilogue
23. Index 24. Other Books You May Enjoy

Hyperautomation: The Future of RPA

In the previous chapter, we talked about intelligent automation (IA) and how it is revolutionizing industries. But that is not all when it comes to automation and its benefits; there is more to it, and that is what we are going to cover in this chapter. When the industry was taking advantage of IA, or intelligent process automation (IPA), some people were working on the next phase and trying to figure out what else can be added to the automation ecosystem so it can add more value. We already talked about machine learning and artificial intelligence and adding them to RPA to achieve next-gen automation capabilities. Now, we will see what hyperautomation is – another concept that talks about adding more capabilities to the existing IA and is capable of automating everything automatable in an organization. What does that mean? It means scaling automation to the level where everything can be automated, including the discovery and identification...

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