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Practical Guide to Azure Cognitive Services

You're reading from  Practical Guide to Azure Cognitive Services

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781801812917
Pages 454 pages
Edition 1st Edition
Languages
Authors (3):
Chris Seferlis Chris Seferlis
Profile icon Chris Seferlis
Christopher Nellis Christopher Nellis
Profile icon Christopher Nellis
Andy Roberts Andy Roberts
Profile icon Andy Roberts
View More author details

Table of Contents (22) Chapters

Preface Part 1: Ocean Smart – an AI Success Story
Chapter 1: How Azure AI Changed Ocean Smart Chapter 2: Why Azure Cognitive Services? Chapter 3: Architectural and Cost Optimization Considerations Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
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 Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations
Chapter 8: Decluttering Paperwork with Form Recognizer Chapter 9: Identifying Problems with Anomaly Detector Chapter 10: Streamlining the Quality Control Process with Custom Vision Chapter 11: Deploying a Content Moderator Chapter 12: Using Personalizer to Cater to Your Audience Chapter 13: Improving Customer Experience with Speech to Text Chapter 14: Using Language Services in Chat Bots and Beyond Chapter 15: Surveying Our Progress Chapter 16: Appendix – Azure OpenAI Overview Index Other Books You May Enjoy

Exploring the history of Azure Cognitive Services

There are countless cases of AI being implemented within organizations or broader society at large, and the overall topic of AI is really nothing new. Since the mid-1950s, scientists have been working on various ways to replicate the inner workings of the human brain to teach computers how to "think" on their own and perform tasks with the same efficiency as humans. Through many starts and stops of funding and support, progress has been made with various methodologies. With the introduction of cloud computing in the late 2000s with virtually limitless amounts of processing power, memory, optical networks, and solid-state disk drives, applications of AI have exploded for both corporate and personal use within software, smartphones, and many other uses.

Today, the three major public cloud vendors are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). They are listed in order of market share in terms...

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