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)
1
Part 1: Ocean Smart – an AI Success Story
5
Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
10
Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations

Streamlining the Quality Control Process with Custom Vision

A seafood company’s reputation can rely heavily on many factors, and Ocean Smart built a reputation for quality by holding higher standards for its products. Customer service, perceived value, quality, and freshness of the product can all be differentiators in a heavily competitive segment of the food industry. The market in the restaurant, food distribution, and retail sectors for frozen lobster tails is quite lucrative. The quality of the products produced is determined by several factors, and when evaluating where AI could be used to help with improving this process, we determined a visual inspection of the product could be assisted by the Custom Vision API. Because the quality control process is so critical, a significant amount of inspection must take place to ensure a quality product is packaged and sent to customers. This inspection is visual – looking at lobster tails moving down the production lines...