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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 Form Recognizer for mostly automating the AP process

In an ideal world, I'd sit here and proudly claim "We did it! We fully automated this process and saved Ocean Smart oodles of time and money!", but that's just not the case. While developing the solution for this chapter, we found the Form Recognizer services to be incomplete as well as lacking in documentation and product flexibility. That being said, enhancements are being made all the time, and even though we were unable to use the Form Recognizer invoice model for our deployment, we were able to use the general document model released in version 3.0 of the service.

As a result of the change from the invoice layout to the general layout, this section will focus on the activities required to deploy the services we will use as part of the overall solution. We will show you how to deploy the services with common settings that should provide a baseline to build your own solution with appropriate configurations...

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