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

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781801812917

Length 454 pages

Edition 1st Edition

Tools

Azure

Concepts

Neural Networks

Authors (3):

Andy Roberts

Chris Seferlis

Christopher Nellis

View More author details

Table of Contents (22) Chapters

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

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Exploring native AI enrichments in Azure Cognitive Search

In Chapter 5, Azure Cognitive Search Overview and Implementation, we did a deep dive into the world of search and indexing, and then queried from what we built within that index, but we only lightly touched on the AI enhancements included natively with Cognitive Search. This section will give a more thorough look at what those additional enrichments are, how they are applied, and some best practices for using them.

The enhancements included in Cognitive Search come from the Computer Vision and Text Analytics cognitive services to better extract key information using the most common use cases in a KM solution. The features of those services included are listed in the output of the queries completed in Chapter 5, Azure Cognitive Search Overview and Implementation, and also include the following: