Developers

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

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.

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 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.

Congratulations to the TensorFlow community on the release of TensorFlow 2.0! In this blog, we aim to highlight some of the ways that Azure can streamline the building, training, and deployment of your TensorFlow model.

Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights.

Azure IoT Central is an IoT app platform for solution builders that simplifies the challenges of building and deploying scalable and affordable enterprise grade IoT applications.

Azure Maps is proud to share the preview of a new set of Weather Services for Azure customers to integrate into their applications.

Azure Machine Learning is the center for all things machine learning on Azure, be it creating new models, deploying models, managing a model repository and/or automating the entire CI/CD pipeline for machine learning.

Late last year, we announced the preview of some of the foundational capabilities for our industrial IoT analytics platform with a scalable time series storage for trending decades of data, semantic model support to describe domain-specific metadata, and enhanced analytics APIs and UX.

Author: Bert Van Hoof For the last five years, our industry has buzzed with the promises of IoT. IoT has evolved from being a next-horizon term, to a common vernacular employed across industry conversations.

SQL Server on Azure virtual machines brings cloud agility, elasticity and scalability benefits to SQL Server workloads. SQL virtual machine offers full control on the operating system , virtual machine size, storage subsystem, and the level of manageability needed for your workload.