Book description
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.
Table of contents
- Practical Guide to Azure Cognitive Services
- Contributors
- About the authors
- About the reviewer
- Preface
- Part 1: Ocean Smart – an AI Success Story
-
Chapter 1: How Azure AI Changed Ocean Smart
- Choosing Azure Cognitive Services
-
The Ocean Smart story
- Dealing with paperwork using Knowledge Mining
- Using Form Recognizer to process financial documents
- Using Anomaly Detector for discovering abnormalities
- Using Computer Vision to detect product quality issues early
- Applying Content Moderator to avoid the posting of inappropriate material
- Using the Personalizer service for product recommendations
- Applying Speech services for call center improvements
- Building your case: calculating ROI and TCO
- Summary
- Chapter 2: Why Azure Cognitive Services?
- Chapter 3: Architectural and Cost Optimization Considerations
- Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
- Chapter 4: Deriving Value from Knowledge Mining Solutions in Azure
- Chapter 5: Azure Cognitive Search Overview and Implementation
- Chapter 6: Exploring Further Azure Cognitive Services for Successful KM Solutions
- Chapter 7: Pulling It All Together for a Complete KM Solution
- Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations
- Chapter 8: Decluttering Paperwork with Form Recognizer
- Chapter 9: Identifying Problems with Anomaly Detector
-
Chapter 10: Streamlining the Quality Control Process with Custom Vision
- Technical requirements
- Understanding the quality control process at Ocean Smart
- Evolving the quality control process with Custom Vision
- Training and improving the model
- Using Smart Labeler for faster image labeling
- Sending a notification of an irregular product
- Building the complete Custom Vision solution
- Summary
- Chapter 11: Deploying a Content Moderator
-
Chapter 12: Using Personalizer to Cater to Your Audience
- Technical requirements
- The Personalizer service and its origins
- Receiving and scoring consumer feedback
- Using Reinforcement Learning for recommendations
- Configuring Content, Actions, and Context to make recommendations
- Using evaluations to increase the effectiveness of your Personalized Service
- Building a completed solution
- Summary
- Chapter 13: Improving Customer Experience with Speech to Text
- Chapter 14: Using Language Services in Chat Bots and Beyond
- Chapter 15: Surveying Our Progress
- Chapter 16: Appendix – Azure OpenAI Overview
- Index
- Other Books You May Enjoy
Product information
- Title: Practical Guide to Azure Cognitive Services
- Author(s):
- Release date: May 2023
- Publisher(s): Packt Publishing
- ISBN: 9781801812917
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