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

Understanding how Azure Cognitive Search is built

Azure Cognitive Search is a robust and mature service with roots in the Azure Search service that was created back in 2014 originally. The Search service was developed by using the same technology that powered Microsoft Office and Bing Search. Azure Search was retired in 2019 and the capabilities were folded into Azure Cognitive Search with newer, enhanced AI features. The service was originally developed to provide a flexible API-based search solution for developer applications without requiring infrastructure deployments. This freed developers' time up by reducing the number of hours needed to build and maintain an in-house, full-text search solution for their applications.

At its core, Cognitive Search offers two main functions, indexing and querying:

  • Indexing – As with other search service providers, indexing is simply the process of loading data and documents into a repository or pointing an indexer to the...