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.
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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. We see an opportunity to do more by bringing together agility and intelligence so that our customers can proactively adapt to change, rather than react to it and maintain a competitive edge in a dynamic landscape.
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™ 3.1 Training results1 are a testament to our unwavering commitment to building high-quality and high-performance systems in the cloud to achieve unparalleled efficiency in training LLMs at scale.
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. In support of that, we are thrilled to announce that Microsoft has achieved a milestone that reaffirms our commitment to empowering our customers and partners in their journey towards optimized cloud spending. We are now a FinOps Certified Service Provider.
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.
Azure App Service provides native security integration with Microsoft Defender for Cloud to help protect multicloud and hybrid environments with comprehensive security across the full lifecycle, from development to runtime. In this blog, we will explore another well-kept secret: how seamless and worry-free it can be to safeguard your web applications using the integration with Defender for Cloud.
This month, we’re helping customers operationalize responsible AI with purpose-built tools and have a few products and updates designed to empower our customers to innovate safely with our trusted platform.
The series will examine what makes Generative AI so unique and how it can meet current business challenges, as well as how it drives new forms of collaboration between teams working to build the next generation of apps and services. The series will also ground organizations in responsible AI approaches and best practices, as well as data governance considerations as companies innovate now and towards the future.