Over the past three years, Microsoft and VMware have worked together closely to deliver our Azure VMware Solution (AVS) to customers in more than 30 Azure regions around the globe.
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To support customers in getting the most from their cloud portfolio, Microsoft works with partners such as Dynatrace, an analytics and automation platform powered by causal AI, and recognized as a Leader in the 2023 Gartner® Magic Quadrant™.
Microsoft’s mission is to empower everyone to achieve more, and we know that our customers like using MongoDB to build applications. In year one of our strategic partnership, we collaborated with MongoDB to make it even easier for our joint customers to do more with Microsoft services and MongoDB Atlas on Azure.
We are excited to announce that Microsoft Azure is recognized as a leader in the inaugural IDC MarketScape for AI Governance Platforms. IDC looked at AI governance platforms that ensure AI and machine learning lifecycle governance, collaborative risk management, and regulatory excellence for AI.
We are excited to share that Oracle Database@Azure is generally available in the Azure United States East region, with more regions coming in 2024. You can now use Oracle database services running on Oracle Cloud Infrastructure (OCI) hardware deployed in Azure data centers.
As customers and partners have adopted and experimented with the Azure Space portfolio, new and interesting use cases are emerging that illustrate what’s possible. Today, we are excited to share some of those customer stories, along with updates for Azure Orbital Ground Station, Azure Orbital’s software development kit, and Microsoft Planetary Computer.
By not only making actual planning and observational data more accessible, but also helping companies present insights in a human-centric format with generative AI, Azure Data Manager is helping lead the way into a more sustainable future.
With Azure Data Manager for Agriculture, organizations can leverage high-quality datasets for digital agriculture solutions, allowing customers and partners to focus on product innovation rather than data management.
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.
Now with Azure Data Manager for Energy, energy-domain data resides in the same place as some of the most advanced AI technologies and cloud services. Energy companies can now have the improved productivity, security, and scale of a cloud platform, built with their needs in mind.