Written by Kathleen Mitford, Corporate Vice President, Azure Marketing
Welcome to Azure Hybrid, Multicloud, and Edge Day—please join us for the digital event. Today, we’re sharing how Azure Arc extends Azure platform capabilities to datacenters, edge, and multicloud environments through an impactful, 90-minute lineup of keynotes, breakouts, and technical sessions available live and on-demand. As part of today’s event, we’re announcing the general availability of Azure Machine Learning for hybrid and multicloud deployments with Azure Arc. Now you can build, train, and deploy your machine learning models right where the data lives, such as your new or existing hardware and IoT devices.
When I talk with customers, one of the things I hear most frequently is how new cloud-based applications drive business forward. And as these new applications are built, they need to take full advantage of the agility, efficiency, and speed of cloud innovation. However, not all applications and infrastructure they run on can physically reside in the cloud. That’s why 93 percent of enterprises are committed to hybrid deployments for their on-premises, multicloud, and edge workloads.1
With Azure, we meet you where you are, so you can innovate anywhere. The Azure cloud platform helps you bring new solutions to life—to solve today’s challenges and create the future. Azure Arc is a bridge that extends the Azure platform so you can build applications and services with the flexibility to run across datacenters, edge, and multicloud environments.
Azure Arc provides a consistent development, operations, and security model for both new and existing applications. Our customers are using it to revolutionize their businesses, whether they’re building on new and existing hardware, virtualization and Kubernetes platforms, IoT devices, or integrated systems.
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