Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI

Purchase of the print or Kindle book includes a free PDF eBook

Key Features

Minimize costs and maximize operations by automating mundane activities using AI tools
Ideate solutions using real-world examples for manufacturing process improvement with AI
Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples

Book Description

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.

What you will learn

Master cost-effective deployment of Azure Cognitive Services
Develop proven solutions from an architecture and development standpoint
Understand how Cognitive Services are deployed and customized
Evaluate various uses of Cognitive Services with different mediums
Disseminate Azure costs for Cognitive Services workloads smoothly
Deploy next-generation Knowledge Mining solutions with Cognitive Search
Explore the current and future journey of OpenAI
Understand the value proposition of different AI projects

Who this book is for

This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.

How Azure AI Changed Ocean Smart
Why Azure Cognitive Services?
Architectural and Cost Optimization Considerations
Deriving Value from Knowledge Mining Solutions in Azure
Azure Cognitive Search Overview and Implementation
Exploring Further Azure Cognitive Services for Successful KM Solutions
Pulling It All Together for a Complete KM Solution
Decluttering Paperwork with Form Recognizer
Identifying Problems with Anomaly Detector
Streamlining the Quality Control Process with Custom Vision
Deploying a Content Moderator
Using Personalizer to Cater to Your Audience
Improving Customer Experience with Speech to Text

(N.B. Please use the Look Inside option to see further chapters)

About the Author

Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.

Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.

Andy Roberts is a seasoned Data Platform and AI Architect. He has dawned many hats in his career as a developer, dba, architect, project lead, or more recently a part of a sales organization, the heart of his job has always revolved around data. Acquiring it, shaping it, moving it, protecting it and using it to predict future outcomes, processing it efficiently.

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