2022年6月23日
How can Microsoft empower satellite operators to focus on their mission and enable them to continue the operation of their satellites, without making capital investments in their ground infrastructure? To answer that question, Microsoft worked alongside the National Oceanic and Atmospheric Administration (NOAA), and our partner Xplore, to demonstrate how the commercial cloud can provide satellite mission management for NOAA’s legacy polar satellites (NOAA-18)—extending the mission life of these satellites while reducing the cost of operation through Azure Orbital Ground Station as-a-Service (GSaaS).
2022年6月7日
Aiming to enable the hospital-at-home approach to better support patients and help to relieve existing pressures on the NHS, Capita Healthcare Decisions leverages Microsoft Azure Health Data Services which enables healthcare professionals and patients to manage patient data in the cloud.
Rajya Bhaiya
MedTech Director, Health and Life Science Cloud + Data at Microsoft
2022年4月18日
Last year, we announced our strategic partnership with Grafana Labs to develop a Microsoft Azure managed service that lets customers run Grafana natively within the Azure cloud platform. Today, we are announcing that Azure Managed Grafana is available in preview. With Azure Managed Grafana, the Grafana dashboards our customers are familiar with are now integrated seamlessly with the services and security of Azure.
2022年4月12日
With the advance of AI and machine learning, companies start to use complex machine learning pipelines in various applications, such as recommendation systems, fraud detection, and more. These complex systems usually require hundreds to thousands of features to support time-sensitive business applications, and the feature pipelines are maintained by different team members across various business groups.
2022年3月15日
Today, we take a giant step toward making the dream of interoperability in healthcare real. Microsoft is announcing the general availability of Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud. Azure Health Data Services is a new way of working with unified data—providing your team with a platform to support both transactional and analytical workloads from the same data store and enabling cloud computing to transform how we develop and deliver AI across the healthcare ecosystem.
2022年2月1日
2022 starts out strong with Cost Management in the Microsoft 365 admin center and a new multitasking experience in the cost analysis preview on top of 7 new ways to save, 6 new videos, and 4 documentation updates.
2021年11月2日
The exponential growth of datasets has resulted in growing scrutiny of how data is exposed—both from a consumer data privacy and compliance perspective. In this context, confidential computing becomes an important tool to help organizations meet their privacy and security needs surrounding business and consumer data.
2021年11月2日
There are three core capabilities businesses need that together drive successful transformation: limitless database scale and performance, unmatched analytics and insights, and unified data governance. Today we shared a number of announcements to help organizations evolve rapidly even in the face of sustained uncertainty. Across industries, companies are investing in these core capabilities to ensure they have the flexibility to innovate anywhere and meet evolving business needs.
2021年10月26日
From research to diagnosis to treatment, AI has the potential to improve outcomes for some treatments by 30 to 40 percent and reduce costs by up to 50 percent. Obtaining the large data sets necessary for generalizability, transparency, and reducing bias has historically been difficult and time-consuming. That’s why the University of California, San Francisco (UCSF) collaborated with Microsoft, Fortanix, and Intel to create BeeKeeperAI.
John Doyle
Chief Technology Officer, Microsoft Health & Life Sciences
2021年10月4日
We are announcing that Microsoft has been named a Leader in the 2021 Gartner Magic Quadrant for Data Integration Tools. By leveraging Microsoft’s data integration tooling to combine disparate data sources, automate processes, and manage their data estates, our customers set the stage to deliver value to their teams through clear and actionable insights.
Daniel Yu
Director, Azure Cloud Scale Analytics