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

Identifying Problems with Anomaly Detector

As we've seen so far in this book, there are many opportunities where we can use artificial intelligence (AI) with the help of Cognitive Services for a variety of purposes to improve business operations and add value. When we look at the Anomaly Detector service, we will change our focus a bit and examine how Ocean Smart was able to reduce the risk of inventory and raw materials being spoiled. Through the years, millions of dollars worth of product has had to be written off due to spoilage that could potentially have been avoided. With better monitoring and notifications, these unfortunate and costly occurrences could be avoided.

The Anomaly Detector service allows us to monitor streams of data for unexpected or irregular events. We will examine how we can do this with single and multiple, univariate and multivariate, streams of data to recognize and alert about these events as part of daily operations. Our example will take us through...