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

Summary

This chapter covered the essential information that Ocean Smart used to understand the common Azure services that are used with cognitive services deployments. We also explored the most important things we must consider when deploying the services successfully at optimal costs, as well as their corresponding SLAs. We also went through a simple pricing exercise by comparing service tiers, looking at the services that are required to build a Form Recognizer PoC, and exporting the pricing calculator. These estimates will help you build the ROI and TCO models that we discussed in Chapter 2, Why Azure Cognitive Services?. As we diver deeper into this book and the build solutions for the specified use cases, we will look closer at the modeling costs for the solutions. Finally, we wrapped up this chapter by providing an overview of some data movement tools that can help you get your data moved to Azure efficiently for your requirements.

As we discussed earlier in this book, SLA...