Book Image

Practical Guide to Azure Cognitive Services

By : Chris Seferlis, Christopher Nellis, Andy Roberts
Book Image

Practical Guide to Azure Cognitive Services

By: Chris Seferlis, Christopher Nellis, Andy Roberts

Overview of this book

Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft’s award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities. With Practical Guide to Azure Cognitive Services, you’ll work through industry-specific examples of implementations to get a head-start in your production journey. You’ll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you’ll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you’ll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions. By the end of this book, you’ll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You’ll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI.
Table of Contents (22 chapters)
1
Part 1: Ocean Smart – an AI Success Story
5
Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
10
Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations

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...