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

Building the complete solution

With the many capabilities of the Content Moderator service, we are afforded many opportunities to implement moderation across several mediums. When Ocean Smart deployed a chatbot for helping with the customer experience on their website, they wanted to ensure they could keep their customers protected. They did so by implementing the Content Moderator service to help ensure that customers’ PII was protected in situations where customers shared this information in chats.

We also want to ensure that the conversations with the bot remain appropriate and are not offensive, so we also make sure offensive language is filtered. Using a chatbot is just one example, and throughout this chapter, we have discussed several other mediums where the service can be leveraged. Most services will call the API in the same way as we’ll show throughout the rest of this chapter.

In Chapter 14, we will discuss Language Understanding services and how to leverage...