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)
Part 1: Ocean Smart – an AI Success Story
Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations

Exploring native AI enrichments in Azure Cognitive Search

In Chapter 5, Azure Cognitive Search Overview and Implementation, we did a deep dive into the world of search and indexing, and then queried from what we built within that index, but we only lightly touched on the AI enhancements included natively with Cognitive Search. This section will give a more thorough look at what those additional enrichments are, how they are applied, and some best practices for using them.

The enhancements included in Cognitive Search come from the Computer Vision and Text Analytics cognitive services to better extract key information using the most common use cases in a KM solution. The features of those services included are listed in the output of the queries completed in Chapter 5, Azure Cognitive Search Overview and Implementation, and also include the following:

  • Entity recognition
  • Language detection
  • Key phrase extraction
  • Text manipulation
  • Sentiment detection
  • PII...