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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

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

Why subscribe?

21. Other Books You May Enjoy

Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search

In this part, we will describe how Ocean Smart took its legacy document management repository and built a knowledge mining (KM) solution to hold a vast library of valuable information.

This section has the following chapters:

Chapter 4, Deriving Value from Knowledge Mining Solutions in Azure
Chapter 5, Azure Cognitive Search Overview and Implementation
Chapter 6, Exploring Further Azure Cognitive Services for Successful KM Solutions
Chapter 7, Pulling It All Together for a Complete KM Solution

The rest of the chapter is locked

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Authors (3)

Chris Seferlis

Chris Seferlis

Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.

See other products by Chris Seferlis

Andy Roberts

Andy Roberts

Andy Roberts is a seasoned Data and AI Architect. Having titles in his career as developer, dba, architect, project lead, and pre-sales, always revolving around data. Acquiring, shaping, moving, protecting, and using data to predict future outcomes, processing it efficiently.

See other products by Andy Roberts

Christopher Nellis

Christopher Nellis

Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.

See other products by Christopher Nellis

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