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

Sending a notification of an irregular product

Our model is built, and we have established a system for capturing images of our tails to compare against our machine learning model. Now, we need to put the downstream processes in place to notify our quality inspector when a Bad Tail has been detected. As described previously, a system for sending notifications and providing feedback when a false positive has been detected was developed using a Raspberry Pi device for input and output of information. If you are unfamiliar with these devices, a Raspberry Pi computer is a lightweight computer commonly running the Linux operating system, which was originally designed for education and hobbyists. Its expansive nature and the add-on components that were designed due to the popularity of the devices led to significantly more adoption of Raspberry Pi devices than originally anticipated, and they have been commonly used in commercial applications as a result.

For our example, we connected...