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 core Azure services and costs

In this section, we are going to look at what services Ocean Smart used when building solutions in Azure. When examining some of the architectures provided by the Azure documentation, it is generally assumed that the data that is being used for the solution has already been uploaded into Azure, except for streaming data examples. Later in this chapter, we will look at some of the options you have for getting your data into Azure for batch loading and streaming.

When considering costs, as described in each of this chapter's sections, we will always provide a balance of costs and services for optimal configurations. As it goes, the better the service, the higher the cost. Only you can determine what your business requirements are, with help from other stakeholders, to ensure an optimal mix of services and costs. It is important to note that service-level agreements (SLAs) do not guarantee service – they simply provide a mechanism...