Announcements

At Microsoft Ignite, we’re sharing the many new capabilities our teams have built to improve security with Azure Security Center and the Azure Platform.

If you are like many of our customers, you are running a mix of applications in your on-premises datacenters, multiple cloud environments, and edge.

This week at Microsoft Ignite, we announced several important additions to our Azure infrastructure as a service (IaaS) portfolio.

With the recent preferred cloud partnership with SAP, Microsoft and SAP are committed to ensuring that we provide a simplified path for the migration from on-premises SAP ERP to SAP S/4HANA in the cloud, on Azure.

With the exponential growth in data, organizations find themselves in increasingly heterogenous data estates, full of data sprawl and silos, spreading across on-premises data centers, the edge, and multiple public clouds.

We are highlighting key Azure Infrastructure enhancements that further power our customers’ digital transformation journey.

Enterprises today are adopting artificial intelligence (AI) at a rapid pace to stay ahead of their competition, deliver innovation, improve customer experiences, and grow revenue.

Since announcing Azure Stack in 2017, we’ve set the stage for extending the cloud to customers’ datacenters. The hybrid cloud has been one of the design principles for Azure from the start.

Organizations today must embrace a data-driven culture or risk being left behind. A recent Harvard Business Review survey found organizations with data-driven cultures improve revenue by four times and unlock rich insights to drive meaningful business transformation and customer satisfaction.

Today every company is a software company. Across all industries from retail to healthcare to financial services and more, software is at the heart of every company’s strategy.

Over the past few years, we’ve seen incredible transformation across industries as companies harness the power of AI to transform business processes and drive impact for their customers.

Today, businesses are forced to maintain two types of analytical systems, data warehouses and data lakes. Data warehouses provide critical insights on business health.