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

Technical requirements

To build your Custom Vision solution, you will need to have an Azure subscription with at least Contributor rights to the subscription for deploying services. You will need an Azure storage account for storing your documents pre- and post-processing. Depending on it, if you plan to deploy the solution to a Docker container or an Azure Web App, you will need experience with those technologies to ensure proper deployment. You will also need to have Visual Studio Code ( if you intend to use the Custom Vision SDK. Some other services you may use for your deployment are as follows:

  • Azure Functions – for building functions and executing code
  • Azure Data Factory or similar – for data orchestration and transformation
  • Azure Logic Apps – for workflow and triggering mechanisms

Of course, the more complex and automated your solution is, the more tools you will likely need to know how to use...