środa, 1 grudnia 2021
Due to the complexity, high cost of operations, and unscalable infrastructure, on-premises Hadoop platforms have often not delivered on their initial promises to impact business value. As a result, many enterprises are now seeking to modernize their Hadoop platforms to cloud data platforms.
wtorek, 26 października 2021
October ushers Cost Management and Billing into a new world – from coverage of Microsoft 365, Dynamics 365, and more to a new tool that helps you reduce cost and manage your on-prem licenses. You can also update your address or purchase order number on existing invoices or try an early preview of subscription cost anomaly detection. All this plus 12 new cost-saving options, 3 new videos, and 7 documentation updates. We hope you're as excited about what the future holds as we are!
wtorek, 26 października 2021
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.
wtorek, 19 października 2021
A growing number of organizations are taking advantage of machine learning to increase efficiency, enhance customer experiences and drive innovation. Azure Machine Learning is the enterprise-grade service to build and deploy models faster and accelerate the machine learning lifecycle.
wtorek, 7 września 2021
Intel and Microsoft Azure are working together to help enterprises deploy intelligent IoT technologies and services, including AI’s deep learning abilities, computer vision, and audio or speech capabilities. Adding these capabilities enables solutions to solve more business challenges, uniting two or more—adding both computer vision and AI, for example greatly expands the potential uses for IoT solutions.
wtorek, 17 sierpnia 2021
Today, AI and machine learning are enabling data-driven organizations to accelerate their journey to insights and decisions. With all the latest advancements, AI is no longer limited to only those with deep expertise or a cache of data scientists, and many organizations can now adopt AI and machine learning for better competitive advantage. Customers with analytics practices looking to adopt machine learning can read this report to get started.
środa, 30 czerwca 2021
The continuous monitoring of health metrics is a fundamental part of this process, and this is where AIOps plays a critical role. In the post that follows, we introduce how AI and machine learning are used to empower DevOps engineers, monitor the Azure deployment process at scale, detect issues early, and make rollout or rollback decisions based on impact scope and severity.
wtorek, 1 czerwca 2021
Today, Azure announces the general availability of the Azure ND A100 v4 Cloud GPU instances—powered by NVIDIA A100 Tensor Core GPUs—achieving leadership-class supercomputing scalability in a public cloud. For demanding customers chasing the next frontier of AI and high-performance computing (HPC), scalability is the key to unlocking improved total cost of ownership and time-to-solution.
wtorek, 25 maja 2021
Our commitment to developers is to make Azure the best cloud for developing intelligent applications that harness the power of data and AI. At Microsoft Build, we are announcing several exciting new capabilities and offers that make it easy and cost-effective for developers to get started with Azure data and AI services.
środa, 19 maja 2021
Over the past year, Microsoft has teamed with Ball Aerospace to develop the prototype for the Commercially Augmented Space Inter Networked Operations (CASINO) Program Office demonstrating agile cloud processing capabilities in support of the United States Space Force. For increasingly distributed mission environments, Microsoft Azure delivers the processing power and analysis necessary for these large datasets.