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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Access Control Lists (ACLs) 46

accounts payable (AP) process 139

exploring, at Ocean Smart 139

Actions

configuring, to make recommendations 286-288

Alexa 29

Amazon Web Services (AWS) 22

Android 229

anomalies

defining 199

detecting 199

Anomaly Detection Cognitive Service 185

Anomaly Detector algorithms data

Async API 191-194

Sync API 194

using 190

Anomaly Detector service 25-27

Multivariate Anomaly Detector 188-190

overview 184

Univariate Anomaly Detector 185-188

used, for discovering abnormalities 8-10

Application Insights 197

application programming interfaces (APIs) 5, 73, 116

Apprentice mode 279

AP process automation

used, for deploying Form Recognizer 140

Artificial Intelligence (AI) 4, 44, 183, 221

advancements...