Posts in tag

Microsoft Azure


  In today’s fast-paced world, there is often a need for instantaneous, real-time responses. Companies are finding the computing needed to support this 24/7 mentality generates staggering amounts of data, often from devices out in the physical world. This influences a shift in priorities as companies look for technology that gives them the flexibility to …

From improving clinical decision making to better managing the COVID-19 pandemic, the benefits of artificial intelligence (AI) applied to health and medicine are undeniable. 2021 is expected to be a year where health systems make unprecedented investments in AI to improve quality, reduce costs, and create more personalized experiences for patients and health consumers alike. …

This post was co-authored by Gregory Moore, M.D., Ph.D., CVP for Microsoft Health Next. Since the start of the pandemic, Microsoft Healthcare Bot has been at the leading edge of helping organizations be more agile with patient engagement. The U.S. Centers for Disease Control (CDC), Walgreens, Premera, and Providence are just a few of the many organizations that …

As urbanization continues to take hold and cities face challenges to become more sustainable and livable, urban planning and operations strategies must adapt. The current pandemic has changed the way we live, accelerating cities’ future vision as a necessity of the present and what it means to live in a connected and resilient urban environment. …

Earlier this year, we empowered over 10,000 students from all over the world to learn the basics of machine learning over the course of four months. We are excited to announce the next stage of skilling with the availability of an advanced machine learning Nanodegree program on Udacity. Starting today, students can enroll for the Machine Learning Engineer …

Organizations today are striving to build agility and resilience to the fast-changing environment we live in. AI and machine learning  innovation can help tackle these emerging challenges and enable cost efficiencies. However, organizations still encounter barriers to adopting and deploying machine learning at scale. Recently at Microsoft Ignite, Azure Machine Learning made a number of announcements that help …

Data is growing exponentially, and over 80 percent of data is unstructured1, creating a challenge for organizations to find and surface the right information to their customers. What organizations need is a solution that enables them to uncover latent insights from all their content by quickly identifying relevant information and meaningful patterns. Knowledge mining is a …

As organizations assess safely reopening and continue navigating unexpected shifts in the world, getting insights to respond in an agile and conscientious manner is vital. Developers and data scientists of all skill levels are inventing with Microsoft Azure AI’s powerful and responsible tools to meet these challenges. Operating safely To help organizations operate safely in today’s environment, …

The trend toward the use of massive AI models to power a large number of tasks is changing how AI is built. At Microsoft Build 2020, we shared our vision for AI at Scale utilizing state-of-the-art AI supercomputing in Azure and a new class of large-scale AI models enabling next-generation AI. The advantage of large scale models is that …

“In the era of big data, insights collected from cloud services running at the scale of Azure quickly exceed the attention span of humans. It’s critical to identify the right steps to maintain the highest possible quality of service based on the large volume of data collected. In applying this to Azure, we envision infusing …