Book Image

Azure Integration Guide for Business

By : Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams
Book Image

Azure Integration Guide for Business

By: Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams

Overview of this book

Azure Integration Guide for Business is essential for decision makers planning to transform their business with Microsoft Azure. The Microsoft Azure cloud platform can improve the availability, scalability, and cost-efficiency of any business. The guidance in this book will help decision makers gain valuable insights into proactively managing their applications and infrastructure. You'll learn to apply best practices in Azure Virtual Network and Azure Storage design, ensuring an efficient and secure cloud infrastructure. You'll also discover how to automate Azure through Infrastructure as Code (IaC) and leverage various Azure services to support OLTP applications. Next, you’ll explore how to implement Azure offerings for event-driven architectural solutions and serverless applications. Additionally, you’ll gain in-depth knowledge on how to develop an automated, secure, and scalable solutions. Core elements of the Azure ecosystem will be discussed in the final chapters of the book, such as big data solutions, cost governance, and best practices to help you optimize your business. By the end of this book, you’ll understand what a well-architected Azure solution looks like and how to lead your organization toward a tailored Azure solution that meets your business needs.
Table of Contents (15 chapters)

Utilizing AI for intelligent solutions

Artificial Intelligence (AI) can be used for intelligent solutions in various sectors because it can analyze large amounts of data, learn from it, and make predictions or decisions. This can remove some errors associated with the manual human element and improve efficiency, effectiveness, and personalization. As AI continues to improve, we can expect to see even more innovative uses of AI in various sectors.

AI and big data are two revolutionary technologies transforming how we conduct business and live our lives. As we know, big data refers to large and diverse datasets of information that grow ever-increasingly. Conversely, AI refers to machines that can perform tasks that normally require human intelligence. When integrated, AI and big data provide powerful capabilities to extract meaningful insights and make informed decisions.

Integrating AI with big data produces opportunities for the following:

  • Predictive analytics: Machine...