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Practical Guide to Azure Cognitive Services

You're reading from   Practical Guide to Azure Cognitive Services Leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutions

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781801812917
Length 454 pages
Edition 1st Edition
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Authors (3):
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Andy Roberts Andy Roberts
Author Profile Icon Andy Roberts
Andy Roberts
Chris Seferlis Chris Seferlis
Author Profile Icon Chris Seferlis
Chris Seferlis
Christopher Nellis Christopher Nellis
Author Profile Icon Christopher Nellis
Christopher Nellis
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1: Ocean Smart – an AI Success Story
2. Chapter 1: How Azure AI Changed Ocean Smart FREE CHAPTER 3. Chapter 2: Why Azure Cognitive Services? 4. Chapter 3: Architectural and Cost Optimization Considerations 5. Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
6. Chapter 4: Deriving Value from Knowledge Mining Solutions in Azure 7. Chapter 5: Azure Cognitive Search Overview and Implementation 8. Chapter 6: Exploring Further Azure Cognitive Services for Successful KM Solutions 9. Chapter 7: Pulling It All Together for a Complete KM Solution 10. Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations
11. Chapter 8: Decluttering Paperwork with Form Recognizer 12. Chapter 9: Identifying Problems with Anomaly Detector 13. Chapter 10: Streamlining the Quality Control Process with Custom Vision 14. Chapter 11: Deploying a Content Moderator 15. Chapter 12: Using Personalizer to Cater to Your Audience 16. Chapter 13: Improving Customer Experience with Speech to Text 17. Chapter 14: Using Language Services in Chat Bots and Beyond 18. Chapter 15: Surveying Our Progress 19. Chapter 16: Appendix – Azure OpenAI Overview 20. Index 21. Other Books You May Enjoy

Summary

In this chapter, we discussed some brief histories of DMSees, enterprise search solutions, and the foundation for knowledge mining solutions. We wanted to establish how much value is added to your data when enhancing a standard search index with AI for automation and better insights. So many of these processes were manual for so long and continue to be because companies are frequently unwilling to release their technical debt. When a company invests significant amounts of money into a product, it is extremely difficult for those who decided to invest in it to take a step back and say: "This isn't the right solution going forward." Having been that guy a few times, it was really painful to walk into my boss's office and say: "We need to change direction." However, when you can get back on the right track, things improve much quicker.

We discussed the limitations of DMSs, which are great with structured data and data that can be easily digitized...

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