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


In this chapter, we have seen an introduction to Ocean Smart, with some of the reasons it is using AI for optimizing operations, improving the customer experience, and increasing sales. We also discussed why the company chose to build solutions using cognitive services rather than building applications from scratch, and why it is enhancing the ML models over time for better accuracy. We wanted to give an overview of the types of scenarios that are common in many organizations where cognitive services can be quickly and easily implemented for almost immediate business value. Of course, not all of the solutions will be identical to what you are facing in your organization, but the intent is to give you the ability to get an understanding of how the technology works for each of the scenarios and tailor this to your own situation.

In Chapter 2, Why Azure Cognitive Services?, we will elaborate further on the Azure cognitive services we have briefly discussed in the prior section, with more detailed examples and use cases for each service that are commonly helping organizations.