By connecting customers with our 90,000+ partner ecosystem, we want to enable organizations in every industry to leverage the Microsoft Cloud as the best foundational investment for bringing their biggest opportunities to life.
We are excited to share a series of announcements that highlight Microsoft Azure’s commitment to driving innovation and empowering businesses with cutting-edge AI solutions.
With a unified, intelligent data platform, organizations save on integration costs, improve their security posture, and enable more advanced AI capabilities.
Today we are unveiling Microsoft Fabric—an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need.
Today, we are excited to announce that GPT-4 is available in preview in Azure OpenAI Service.
Milan, Italy, is home to one of our newest datacenter regions, supporting the Microsoft Cloud and Italian customers are already taking advantage of Azure services from this new region.
Today, we’re excited to announce the public preview of HDInsight on AKS, our cloud-native, open-source big data service, completely rearchitected on Azure Kubernetes Service infrastructure with two new workloads and numerous improvements across the stack.
The Total Economic Impact™ Of Adobe SaaS Solutions with Microsoft Cloud report provides a deep analysis of the key challenges organizations look to address when deploying Adobe SaaS solutions on Microsoft Cloud. Read the full study to understand why.
In today’s rapidly evolving technological landscape, generative AI, and especially Large Language Models (LLMs), are ushering in a significant inflection point.
With technologies like open industrial IoT, advanced analytics, and AI, Microsoft Azure ensures manufacturing organizations are well-equipped to understand, mitigate, and validate their environmental impacts.
Together with our partners, we are rapidly innovating to provide every space operator with the solutions to solve persistent challenges in new ways and capture new opportunities in the rapidly expanding space sector.
As we continue to explore the frontiers of in-network computing, we see a future rife with possibilities, exciting research directions, and new deployments in production environments. Our present efforts with TEA and ExoPlane have shown us what’s possible with on-rack resource augmentation and elastic in-network computing.
Our two data center regions in the United Kingdom have been live for nearly a decade and built to help support the exploding growth of the cloud in the United Kingdom and Europe.
Azure Operator Insights enables carriers like Three UK to collect, organize, and process large datasets, providing valuable business insights and improving customer experiences, in part by optimizing the efficiency of time-to-insight. What would have previously taken weeks or months to assess, will now be possible to perform in minutes with AI.
We at Microsoft believe it is critical to build mechanisms to proactively detect and remediate such issues during the early phases of product development or before servers dock in a data center.