As AI continues to redefine the way businesses operate, organizations are facing new challenges and demands on their technology platforms. Today’s enterprises want systems that can handle massive amounts of data to support real-time insights while also helping them overcome the challenge of working with operations, applications, data, and infrastructure across IT and OT environments—whether…
As you may know, November is the month for Microsoft’s largest customer and partner event—Microsoft Ignite. This year, we in the Cost management team, announced key product updates at this event to enable your FinOps journey. Below, you’ll find a summary of these enhancements. We invite you to explore and take full advantage of these…
The foundation of Microsoft’s AI advancements is its infrastructure. It was custom designed and built from the ground up to power some of the world’s most widely used and demanding services. While generative AI is now transforming how businesses operate, we’ve been on this journey for over a decade developing our infrastructure and designing our…
In the midst of this incredible technological shift, two things are clear: organizations are seeing tangible results from AI and the innovation potential is limitless. We aim to empower YOU—whether as a developer, IT pro, AI engineer, business decision maker, or a data professional—to harness the full potential of AI to advance your business priorities.…
We are excited to share that Microsoft has been recognized as a Leader in the inaugural Gartner® Magic Quadrant™ for Cloud Application Platform. Microsoft Azure’s comprehensive cloud application platform spans Azure App Service, Azure Container Apps, and Azure Functions to support application modernization and AI application innovation, with seamless integration with Azure AI, Azure databases, and…
With the increased adoption of cloud-native technologies, containers and Kubernetes have become the backbone of modern application deployments. Microservices-based container workloads are easier to scale, more portable, and resource-efficient. With Kubernetes managing these workloads, organizations can deploy advanced AI and machine learning applications across diverse compute resources, significantly improving operational productivity at scale. With this…