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Amazon Connect: Up and Running

You're reading from   Amazon Connect: Up and Running Improve your customer experience by building logical and cost-effective solutions for critical call center systems

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800563834
Length 338 pages
Edition 1st Edition
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Author (1):
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Jeff Armstrong Jeff Armstrong
Author Profile Icon Jeff Armstrong
Jeff Armstrong
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Planning
2. Chapter 1: Benefits of Amazon Connect FREE CHAPTER 3. Chapter 2: Reviewing Stakeholder Objectives 4. Chapter 3: Sketching Your Contact Flows 5. Chapter 4: Connect Costing 6. Section 2: Implementation
7. Chapter 5: Base Connect Implementation 8. Chapter 6: Contact Flow Creation 9. Chapter 7: Creating AI Bots 10. Chapter 8: Interfacing Enterprise Applications 11. Chapter 9: Implementing Callbacks 12. Chapter 10: Implementing Voicemail 13. Chapter 11: Implementing Call Analytics 14. Chapter 12: Implementing Contact Lens 15. Chapter 13: Implementing Chat 16. Other Books You May Enjoy

Amazon Lex capabilities crash course

Amazon Lex became generally available in April 2017, and the world has never been the same since. Lex has been used in countless ways, from chatbots on websites and mobile applications to, of course, Amazon Connect. Lex works with both voice and text and uses a combination of automatic speech recognition (ASR) and natural language understanding (NLU) to listen to and understand what your customer wants to do.

ASR isn't something new. Siri and Alexa are probably two of the most well-known systems that use ASR. When you use dictation on your phone or other systems, you are also using the same ASR technology. ASR uses AI to determine the words that are being spoken. This technology works very well for dictation, but alone it isn't super useful for chatbots. Words alone don't easily convey meaning. The original speech recognition systems were rule-based, which has its limitations. Eventually, the ruleset gets so large that it&apos...

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