Preparing for future health emergencies with Azure HPC
Microsoft Azure » Machine Learning
by Rudeon Snell
1y ago
A once-in-a-century global health emergency accelerates worldwide healthcare innovation and novel medical breakthroughs, all supported by powerful high-performance computing (HPC) capabilities. COVID-19 has forever changed how nations function in the globally interconnected economy. To this day, it continues to affect and shape how countries respond to health emergencies. COVID-19 has demonstrated just how interconnected our society is and how risks, threats, and contagions can have global implications for many aspects of our daily lives. COVID-19 was the largest global health emergency in ov ..read more
Visit website
What’s new in Azure Data & AI: Helping organizations manage the data deluge
Microsoft Azure » Machine Learning
by Jessica Hawk
1y ago
When I meet with customers and partners, one thing is clear: nearly every organization is looking to accelerate its use of data to drive strategic outcomes. Generating data isn’t the issue. By 2025, IDC estimates the world will surpass 181 zettabytes globally and a staggering 80 percent of that data will be unstructured (think streaming audio and video, social media, and the Internet of Things (IoT) sensor data).1 This explosion of data presents both an opportunity and a challenge. The opportunity is that we can use this data to uncover as-yet unknown insights, predictions, and automation oppo ..read more
Visit website
How 5G and wireless edge infrastructure power digital operations with Microsoft
Microsoft Azure » Machine Learning
by Joe Biron
1y ago
As enterprises continue to adopt the Internet of Things (IoT) solutions and AI to analyze processes and data from their equipment, the need for high-speed, low-latency wireless connections are rapidly growing. Companies are already seeing benefits from deploying private 5G networks to enable their solutions, especially in the manufacturing, healthcare, and retail sectors. The potential of 5G and multi-access edge computing (MEC) has evolved substantially. As they are fully ready to enable the next-generation of digital operations, it is important to highlight some recent successful deploy ..read more
Visit website
What’s new in Azure Data & AI: Azure is built for generative AI apps
Microsoft Azure » Machine Learning
by Jessica Hawk
1y ago
OpenAI launched ChatGPT in December 2022, immediately inspiring people and companies to pioneer novel use cases for large language models. It’s no wonder that ChatGPT reached 1 million users within a week of launch and 100 million users within two months, making it the fastest-growing consumer application in history.1 It’s likely several use cases could transform industries across the globe. As you may know, ChatGPT and similar generative AI capabilities found in Microsoft products like Microsoft 365, Microsoft Bing, and Microsoft Power Platform are powered by Azure. Now, with the recent ..read more
Visit website
Azure Data Manager for Energy: Achieve interoperability with Petrel
Microsoft Azure » Machine Learning
by Larry Sullivan
1y ago
Microsoft Azure Data Manager for Energy is the first fully managed OSDU™ Data Platform built for the energy industry. This solution is the first step in unraveling the challenge of data—moving from disparate systems and disconnected applications to a holistic approach. The product’s ideation directly reflects the partnership between Microsoft and SLB, capitalizing on each organization’s unique expertise. As the energy industry works to achieve a sustainable low carbon future, organizations are taking advantage of the cloud to optimize existing assets and de-risk new ventures. Universally, dat ..read more
Visit website
Azure previews powerful and scalable virtual machine series to accelerate generative AI
Microsoft Azure » Machine Learning
by Matt Vegas
1y ago
Delivering on the promise of advanced AI for our customers requires supercomputing infrastructure, services, and expertise to address the exponentially increasing size and complexity of the latest models. At Microsoft, we are meeting this challenge by applying a decade of experience in supercomputing and supporting the largest AI training workloads to create AI infrastructure capable of massive performance at scale. The Microsoft Azure cloud, and specifically our graphics processing unit (GPU) accelerated virtual machines (VMs), provide the foundation for many generative AI advancements f ..read more
Visit website
Exploring open-source capabilities in Azure AI
Microsoft Azure » Machine Learning
by Takuto Higuchi
1y ago
This post was co-authored by Richard Tso, Director of Product Marketing, Azure AI Open-source technologies have had a profound impact on the world of AI and machine learning, enabling developers, data scientists, and organizations to collaborate, innovate, and build better AI solutions. As large AI models like GPT-3.5 and DALL-E become more prevalent, organizations are also exploring ways to leverage existing open-source models and tools without needing to put a tremendous amount of effort into building them from scratch. Microsoft Azure AI is leading this effort by working closely with GitHub ..read more
Visit website
Drive efficiency through automation and AI with the Microsoft Cloud
Microsoft Azure » Machine Learning
by Jessica Hawk
1y ago
This year at Microsoft Ignite we explore how organizations can activate AI and automation directly in their business workflows and empower developers to use those same intelligent building blocks to deliver their own differentiated experiences. The global pandemic has created unprecedented levels of uncertainty, as well as the need to sense and reshape our physical and digital environments, sometimes in completely new ways. Leaders across industries recognize innovation as the only path forward. Critically, we’ve seen a shift from “innovation for innovation’s sake” toward a desire to lower op ..read more
Visit website
Microsoft shares what's next in machine learning at NVIDIA GTC
Microsoft Azure » Machine Learning
by Kevin Raines
1y ago
Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and developers with innovative solutions that break through the boundaries of what’s possible in data and compute, paving the way for growth opportunities that span ..read more
Visit website
Microsoft is a Leader in 2022 Gartner Magic Quadrant for Cloud AI Developer Services
Microsoft Azure » Machine Learning
by Sharieff Mansour
2y ago
Gartner has recognized Microsoft as a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud AI Developer Services, with Microsoft placed furthest in “Completeness of Vision”. Gartner defines the market as “cloud-hosted or containerized services that enable development teams and business users who are not data science experts to use AI models via APIs, software development kits (SDKs), or applications.” We are proud to be recognized for our Azure AI Platform. In this post, we’ll dig into the Gartner evaluation, what it means for developers, and provide access to the full reprint of the Gartner ..read more
Visit website

Follow Microsoft Azure » Machine Learning on FeedSpot

Continue with Google
Continue with Apple
OR