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)
Part 1: Ocean Smart – an AI Success Story
Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations


Architectural and Cost Optimization Considerations

In this chapter, we are going to focus on some of the other services you will likely need in most, if not all, deployments of Cognitive Services within Azure. We will discuss Ocean Smart evaluated options and demonstrate how they fit into an overall architecture to build a full solution. After describing these services, we will discuss how Ocean Smart was able to optimize its costs while building the complete solution. We will also cover what considerations should be made as you progress from PoC to Pilot, to user testing, and finally to production. This can be very complicated as it requires significant attention to detail and constantly keeping an eye on deployments to minimize costs and follow best practices.

This chapter will cover the following topics:

  • Exploring core Azure services and costs
  • Estimating the costs for a proof-of-concept solution, including all services
  • Understanding data orchestration for...