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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Technical requirements

To build your complete Knowledge Mining (KM) solution with additional cognitive services, you will need to have an Azure subscription with at least Contributor rights to the subscription for deploying services. You will need an Azure Storage account for storing your documents pre- and postprocessing. Depending on whether you plan to deploy the solution to a Docker container or an Azure web app, you should have experience with those technologies to ensure proper deployment. You will need to have Visual Studio Code (download Visual Studio Code for Mac, Linux, or Windows at https://code.visualstudio.com/Download) with the node.js extension installed (https://nodejs.org/en/download/package-manager). Some other services you may use for your deployment are as follows:

Azure Functions: For building functions and executing code
Azure Data Factory or similar: For data orchestration and transformation
Azure Logic Apps: For workflow and triggering mechanisms...