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.
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.
Today, we are excited to announce that Azure Purview is generally available. Every organization can now build a unified data governance solution to maximize the value of their data in the cloud.
Transmitting data from one organization to another is a technical problem that has been solved in innumerable ways. What is different about this project? The Eclipse Dataspace Connector (EDC) is a European open source project made up of components that enable multicloud, policy-based, federated data sharing based on European data sovereignty principles.
As August comes to a close, you'll find new download options available from the cost analysis preview and quick access to common subscription and resource group operations in Configuration. You'll also see the general availability of Azure Government Top Secret and improved migration and modernization tools and programs as well as the 14 new cost saving options and 3 documentation updates. Lots of great stuff!
We are now announcing the general availability of the Apache Spark 3.0 compatible Apache Spark Connector for SQL Server and Azure SQL, accessible through Maven.
At Microsoft, we recognize the challenges faced by the genomics community and are striving to build an ecosystem that can facilitate genomics computing work for all. We’ve focused our efforts on three main core areas: research and discovery in genomics data, building out a platform to enable rapid automation and analysis at scale, and optimized and secure pipelines at a clinical level. One of the core Azure services that has enabled us to leverage an HPC environment to perform the genomic analysis is Azure CycleCloud.
Whether it’s understanding our environment, public health, energy sustainability, weather modeling, economic growth, and many others finding solutions to these important challenges requires huge amounts of focused computing power. Customers are increasingly finding the best way to access such high-performance computing (HPC) is through the agility, scale, security, and leading-edge performance of Azure’s purpose-built HPC and AI cloud services.
April builds on top of past releases. From an expansion of the Retail Prices API to cover non-USD currencies to a new custom date picker based on your feedback. There's also new guidance for building out your cloud architecture for enterprises and operators as well as the usual cost optimization tips, videos, and documentation updates.
March is an exciting month! If you need to control costs and avoid projected overages, you'll want to check out changes to Cost Management budgets. You also have a new view optimized for viewing subscription costs as well as more ways to save, learning resources, and documentation updates. Enjoy!