Thought leadership

We’re dedicated to documenting and sharing our learnings and best practices with the developer community so they can make responsible AI implementation practical for their organizations.

Companies around the world are using AI to understand potential threats, make informed decisions, and take actions to avoid or reduce risk.

Microsoft “30 Days to Learn It” challenges are dynamic and immersive learning experiences designed to empower individuals with the skills and knowledge needed to excel in their chosen tech career path.

Although there is much excitement for copilot pattern-based solutions, it’s important for businesses to carefully consider the design elements to guarantee a durable, ever-evolving, and effective approach. How can you ensure your solution does not just capture attention, but also enhances customer engagement?

In this blog post, we will discuss some of the design principles and characteristics that we see among the customer leaders we work with closely to enhance their critical workload availability according to their specific business needs.

In Microsoft Azure, we are continually innovating to enhance security, such as our collaboration with our hardware partners to create a new foundation based on silicon, that enables new levels of data protection through memory encryption using Confidential Computing.

In this era of accelerating change and AI-driven industry transformation, companies are increasingly turning to the cloud for all aspects of their business.

The need for a unified platform and system to address these challenges is evident. We believe Azure is the platform that can help, and we have been investing in Azure Arc to solve these problems.

Customers need reliable and performant infrastructure to bring the most sophisticated AI use cases to market in record time. Our objective is to build state-of-the-art infrastructure and meet these demands. The latest MLPerf™ 3.

In an era where cloud computing has become the backbone of modern business operations, efficient financial management is the linchpin that keeps organizations agile and cost-effective.

The enterprise development process requires collaboration, diligent evaluation, risk management, and scaled deployment. By providing a robust suite of capabilities supporting these challenges, Azure AI affords a clear and efficient path to generating value in your products for your customers.

At Microsoft, we understand that customers strive to improve workload reliability and security and optimize their cloud spend so they can accelerate business innovation without worrying about workload vulnerabilities or ballooning cloud costs.