Showing 1 – 10 of 343 posts found
AI + Machine Learning, Industry trends
Published • 6 min read
By Mark Russinovich Chief Technology Officer and Technical Fellow, Microsoft Azure
In Microsoft Azure, we are continually innovating to enhance security, such as our collaboration with our hardware partners to create a new foundation based on silicon, that enables new levels of data protection through memory encryption using Confidential Computing.
AI + Machine Learning, Management and Governance, Thought leadership
Published • 4 min read
By Will Kearl Senior Director, Marketplace Product Marketing
In this era of accelerating change and AI-driven industry transformation, companies are increasingly turning to the cloud for all aspects of their business.
AI + Machine Learning, Announcements, Azure AI, Azure Cognitive Search, Azure Cosmos DB, Azure Databricks, Azure Kubernetes Service (AKS), Azure Migrate, Azure OpenAI Service, Azure SQL Database, Events, Microsoft Dev Box
Published • 14 min read
By Jessica Hawk Corporate Vice President, Data, AI, and Digital Application, Product Marketing
Welcome to Microsoft Ignite 2023! The past year has been one of true transformation. Companies are seeing real benefits today and are eager to explore what’s next—including how they can do more with their data investments, build intelligent applications, and uncover what AI can do for their business.
AI + Machine Learning, Announcements, Azure Arc, Azure IoT, Azure Migrate, Events
Published • 6 min read
By Omar Khan General Manager, Azure Product Marketing
With Azure, you can trust that you are on a secure and well-managed foundation to utilize the latest advancements in AI and cloud-native services. Azure is adaptive and purpose-built for all your workloads, helping you seamlessly unify and manage all your infrastructure, data, analytics, and AI solutions.
AI + Machine Learning, Azure OpenAI Service, Compute, Partners, Thought leadership
Published • 4 min read
By Kushal Datta Principal Software Engineer, Hugo Affaticati Technical Program Manager 2, Microsoft, and Hyunseung Harry Yoo Senior Software Engineer, Microsoft
Customers need reliable and performant infrastructure to bring the most sophisticated AI use cases to market in record time. Our objective is to build state-of-the-art infrastructure and meet these demands. The latest MLPerf™ 3.1 Training results1 are a testament to our unwavering commitment to building high-quality and high-performance systems in the cloud to achieve unparalleled efficiency in training LLMs at scale.
AI + Machine Learning, Announcements, Azure OpenAI Service, Developer Tools
Published • 2 min read
By Jessica Hawk Corporate Vice President, Data, AI, and Digital Application, Product Marketing
With these announcements from OpenAI DevDay, developers and enterprises are now poised to explore new horizons, empowered by the combined strengths of Microsoft and OpenAI, and the limitless possibilities of generative AI.
AI + Machine Learning, Analytics, Azure AI, Azure Machine Learning, Azure OpenAI Service, Best practices, Management and Governance, Microsoft Purview, Thought leadership
Published • 7 min read
By Gregory Buehrer Corporate Vice President, Chief Technology Officer of Azure Machine Learning
The enterprise development process requires collaboration, diligent evaluation, risk management, and scaled deployment. By providing a robust suite of capabilities supporting these challenges, Azure AI affords a clear and efficient path to generating value in your products for your customers.
AI + Machine Learning, Azure AI, Thought leadership
Published • 8 min read
By Jessica Hawk Corporate Vice President, Data, AI, and Digital Application, Product Marketing
This month, we’re helping customers operationalize responsible AI with purpose-built tools and have a few products and updates designed to empower our customers to innovate safely with our trusted platform.
AI + Machine Learning, Azure OpenAI Service, Thought leadership
Published • 6 min read
By John Montgomery Corporate Vice President, Microsoft Azure
The series will examine what makes Generative AI so unique and how it can meet current business challenges, as well as how it drives new forms of collaboration between teams working to build the next generation of apps and services. The series will also ground organizations in responsible AI approaches and best practices, as well as data governance considerations as companies innovate now and towards the future.
AI + Machine Learning, Azure AI, Integration, Partners
Published • 4 min read
By Larry Sullivan Partner GM, Energy
Now with Azure Data Manager for Energy, energy-domain data resides in the same place as some of the most advanced AI technologies and cloud services. Energy companies can now have the improved productivity, security, and scale of a cloud platform, built with their needs in mind.
