IT implementors

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.

At Microsoft Build 2019, we announced the general availability of Azure Shared Image Gallery, making it easier to manage, share, and distribute custom virtual machine (VM) images in Azure.

Customers have been using Azure Stack in a number of different ways. We continue to see Azure Stack used in connected and disconnected scenarios as a platform for building applications to deploy both on-premises as well as in Azure.

We recently released Azure Application Gateway V2 or Autoscaling version (SKU) and Web Application Firewall (WAF). These SKUs are Standard_v2 and WAF_v2 respectively and are fully supported with a 99.95% SLA.

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.

Read the latest announcements about Azure Maps, our machine-learning tools, how we give clinicians the right data, and more.

We continue to expand the Azure Marketplace ecosystem. For this volume, 121 new offers successfully met the onboarding criteria and went live.

Data scientists have a dynamic role. They need environments that are fast and flexible while upholding their organization’s security and compliance policies. Notebook Virtual Machine (VM), announced in May 2019, resolves these conflicting requirements while simplifying the overall experience for data scientists.

There is a lot more data in the world than can possibly be captured with even the most robust, cutting-edge technology. Edge computing and the Internet of Things (IoT) are just two examples of technologies increasing the volume of useful data.

With many IoT solutions connecting thousands of hardware endpoints, fixing security issues or upgrading functionality becomes a challenging and expensive task.

Mobility has become the center of an array of new technologies running the gamut from cloud-based algorithms and ride-sharing services, to edge cognition, assisted driving, and traffic pattern analysis – all in an effort to move people and things from one location to another more