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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
Tools
Concepts
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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

What is IA?

The words themselves give the meaning of what IA is. Intelligent automation became the need for the industry as we moved more toward automation. Automation is everywhere, and we have been using automation for the past few decades, but the question is: can we ever bake that human-like intelligence into automation so that we can offload those cognitive tasks and processes of humans to machines? The answer is simple: yes, we can, but only to an extent. So, as the industry was trying to figure out what could be done to cater to the plethora of processes that still needed to be automated and how much money could be saved, engineers were trying to figure out whether it was something they could add or strap to RPA so it could become a next-generation automation technology. This produced the idea of amalgamating two technologies into one to achieve this, which is when IA was born.

IA is an amalgamation of RPA, artificial intelligence (AI), and machine learning (ML). It became...

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