Category: AI + Machine Learning • 14 min read
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.
6 min read
By Omar Khan General Manager, Azure Product Marketing
4 min read
By Mark Russinovich Chief Technology Officer and Technical Fellow, Microsoft Azure
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.
Announcements, Cost Management, Management and Governance
Published • 8 min read
By Sameer Doultani Principal Product Manager
We’re always looking for ways to learn more about your challenges and how Microsoft Cost Management can help you better understand where you’re accruing costs in the cloud, identify and prevent bad spending patterns, and optimize costs to empower you to do more with less.
Azure Data Factory, Events, Integration, Partners
Published • 4 min read
By Satish Thomas Corporate Vice President, Microsoft Industry Clouds
With Azure Data Manager for Agriculture, organizations can leverage high-quality datasets for digital agriculture solutions, allowing customers and partners to focus on product innovation rather than data management.
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.
Management and Governance, Thought leadership
Published • 5 min read
By Joseph Marino Modern Service Management Solutions Architect
In an era where cloud computing has become the backbone of modern business operations, efficient financial management is the linchpin that keeps organizations agile and cost-effective. In support of that, we are thrilled to announce that Microsoft has achieved a milestone that reaffirms our commitment to empowering our customers and partners in their journey towards optimized cloud spending. We are now a FinOps Certified Service Provider.
Announcements, Azure Arc, Azure Kubernetes Service (AKS), Hybrid + Multicloud
Published • 4 min read
By Omar Khan General Manager, Azure Product Marketing
This year, Gartner introduced a Magic Quadrant for Distributed Hybrid Infrastructure (DHI). Gartner defines DHI as “offerings that deliver cloud-native infrastructure attributes, which can be deployed and operated where the customer prefers. Offerings are software and or integrated hardware with a unified control plane. Distributed hybrid infrastructure provides the foundation for the deployment of applications in a distributed manner that retains a cloud-defined or cloud-inspired approach”. We are thrilled to share that Gartner has positioned Microsoft as a Leader in this new category.
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.
Management and Governance, Thought leadership
Published • 4 min read
By Cyril Belikoff General Manager Azure and Industry GTM Marketing
At Microsoft, we understand that customers strive to improve workload reliability and security and optimize their cloud spend so they can accelerate business innovation without worrying about workload vulnerabilities or ballooning cloud costs.
