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

Tying the Cognitive Service for Language to the chat bot for NLP

One of the first ways we can enhance our bot experience is by changing the conversation, literally, to interpretation, enabling us to shift from a contextual understanding to a conversational understanding. As we will display later in the chapter with our working example from Ocean Smart, this can apply to a customer checking on the status of an order, or a whole other host of options. To understand what challenge our customer is having, we ask for the order number to check on the status, but without the Conversational Language Understanding (CLU) capability of the Cognitive Service for Language, the bot would just see a sequence of numbers and letters. Of course, with no other understanding, the bot would be stuck without knowing what the number was or how to handle it.

Initially, these Language Understanding capabilities were handled by the Azure Language Understanding Service (LUIS), but it was announced that this...