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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
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

Deploying the KM solution with monitoring and notification considerations

The capabilities of the Cognitive Search service discussed in the past few chapters along with the enhanced skills available make it clear how powerful this solution can be. Now, let’s look at a practical deployment of the service for a KM tool within Ocean Smart. We wanted the common user to be able to search for data within the repository of captured files, including documents, images, audio, and video. Using our Django portal that we use throughout the book, we have a simple interface allowing the common user to search and decide which file types they would want to be returned. In the following screenshot, you see an example of a simple search for lobster with the resulting files within a document and image search:

Figure 7.1 – Ocean Smart search interface for identifying files containing information related to our search term

Figure 7.1 – Ocean Smart search interface for identifying files containing information related to our search term

Because of how we have configured the...

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