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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

Components of IA

IA is comprised of many technologies used in lifting the capabilities of traditional automation and technology such as RPA. It is an umbrella under which advanced technologies such as AI and ML coexist. IA brings modernization to automation, and each of these technologies complements the other and becomes an ecosystem. IA is also known as IPA where “P” stands for the process, which makes sense, as RPA was used more for task automation, but IA or IPA is used for end-to-end automation. Let’s dive in and review some of these components, which become the core of IA.

AI and ML

When we talk about human-like intelligence, we refer to AI and ML. This concept and technology have been under development for the past few decades, but only in the last few years has it come to a point where we can really understand its use and implement it in automation.

Let’s talk about ML, as that is one of the cores of AI. ML, as the name suggests, is the...

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