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…
In an era defined by the transformative power of AI, industries are reimagining the possibilities of predictive analytics, automation, and real-time decision-making. AI is now ubiquitous, reshaping sectors from retail and finance to healthcare and biotechnology. While new applications harness AI’s potential, it’s the evolution of existing applications through generative AI methodologies that drives exponential…
AI success depends on multiple factors, but the key to innovation is the quality and accessibility of an organization’s proprietary data. I sat down with Teresa Tung to discuss the opportunities of proprietary data and why it is so critical to value creation with AI. Tung is a researcher whose work spans breakthrough cloud technologies,…