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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

Summary

The bot framework is a common host to access LUIS and, in the future, Language Services. As we have seen throughout the chapter, Bot Framework, the Composer and Cognitive Services offer a powerful solution when paired together. Now that we have provided a base example, you can evolve this solution to do things such as extract entities from trigger text. Instead of “Check my order,” maybe the user will say, “What is the status of order 12345?” We can extract the order number from the utterance using language entities. You can also hook the Bot Framework Composer up to external data sources, as we did with the Content Moderator, and communicate on various channels such as Microsoft Teams, Facebook, and text messaging, which we covered in Chapter 11. Further, as described, there are many other use cases the Language Services can assist you with when looking to optimize operations and improve customer service.

Here, we’ve covered many of the...

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