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Practical Guide to Azure Cognitive Services

Practical Guide to Azure Cognitive Services

By : Chris Seferlis , Christopher Nellis, Andy Roberts
4.9 (12)
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Practical Guide to Azure Cognitive Services

Practical Guide to Azure Cognitive Services

4.9 (12)
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)
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1
Part 1: Ocean Smart – an AI Success Story
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Chapter 1: How Azure AI Changed Ocean Smart
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Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
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Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations
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Index
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Defining and detecting anomalies in your organization

Beyond giving examples of how the services can be deployed, this book intends to provide some insight on how to apply AI, hopefully helping to streamline operations and other related benefits. When you start to analyze activities where you might be able to use AI, it helps to look at where unexpected events can occur and how you can better predict the potential for failure. Even if the prediction is especially challenging, there is likely an opportunity to monitor equipment and other capital resources for unexpected events and develop predictability over time.

An area of interest where Ocean Smart could expand is to use the Multivariate detector to look at the overall freezer health, including some of the various elements of a freezer. Then taking that example, similar logic could be applied across locations for all freezers and chillers. This could potentially save significant electricity overhead costs and extend the life of...

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