Developers

Today, Microsoft Azure and Microsoft Office 365 are taking a major step together to help support the digital transformation of our customers.

The Microsoft Worldwide Learning Innovation lab is an idea incubation lab within Microsoft that focuses on developing personalized learning and career experiences. One of the recent experiences that the lab developed focused on offering skills-based personalized job recommendations.

We continue to expand the Azure Marketplace ecosystem. For this volume, 136 new offers successfully met the onboarding criteria and went live.

Last month, Microsoft released Azure Blockchain Service making it easy for anyone to quickly setup and manage a blockchain network and providing a foundation for developers to build a new class of multi-party blockchain applications in the cloud.

Customers such as Allscripts, Chevron, J.B. Hunt, and thousands of others are migrating their important workloads to Azure where they find unmatched security.

Throughout our Internet of Things (IoT) journey we’ve seen solutions evolve from device-centric models, to spatially-aware solutions that provide real-world context.

We recently spent time with Mesh Systems, a Microsoft Gold Cloud platform partner based in Carmel, Indiana, to understand what a day in the life of an Azure IoT partner looks like.

Today’s business data ecosystem is a network of customers and partners communicating continuously with each other. The traditional way to do this is by establishing a business-to-business (B2B) relationship.

Whether it’s in self-driving vehicles, mixed reality, or smart buildings, the autonomous edge has incredible potential to transform our lives for the better. In this post, we’ll review four challenges to a smarter edge, and how to get started with Azure IoT Edge.

Businesses often face similar challenges, from improving productivity and creating a positive customer experience to reducing costs and increasing revenue.

When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, as well as artifacts such as plots or log files.

Since the launch of the open source FHIR Server for Azure on GitHub last November, we have been humbled by the tremendously positive response and surge in the use of FHIR in the healthcare community.