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

Considering other cognitive services commonly used in KM

In Chapter 5, Azure Cognitive Search Overview and Implementation, we gave a good overview of the capabilities available in the cognitive search tool when deploying the next-generation search solution using AI enrichments. Although Microsoft provides an extensive list of capabilities when building your KM solution natively to Cognitive Search, we recognize there are situations when other features are required to build your most effective solution. In this section, we are going to explore some other scenarios where we may want to process documents and other media further to add even more enrichment. This is done so by adding a custom skill to an enrichment pipeline within the Cognitive Search indexing process. Beyond adding other cognitive services as custom skills, you can also choose to use your own ML model that you have developed for one of the skills already included within the AI enrichments. There were frequently such cases...