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

Exploring the history of Azure Cognitive Services

There are countless cases of AI being implemented within organizations or broader society at large, and the overall topic of AI is really nothing new. Since the mid-1950s, scientists have been working on various ways to replicate the inner workings of the human brain to teach computers how to "think" on their own and perform tasks with the same efficiency as humans. Through many starts and stops of funding and support, progress has been made with various methodologies. With the introduction of cloud computing in the late 2000s with virtually limitless amounts of processing power, memory, optical networks, and solid-state disk drives, applications of AI have exploded for both corporate and personal use within software, smartphones, and many other uses.

Today, the three major public cloud vendors are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). They are listed in order of market share in terms...