Step up your machine learning process with Azure Machine Learning service
Everyone’s talking about machine learning (ML). Business decision makers are finding ways to deploy machine learning in their organizations.
Internet of things
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Hannover Messe 2019: Azure IoT Platform updates power new, highly-secured Industrial IoT Scenarios
We’re proud to be showcasing at Hannover Messe once again next week. -
Umanis lifts the hood on their AI implementation methodology
Microsoft creates deep, technical content to help developers enhance their proficiency when building solutions using the Azure AI Platform. -
What’s new in Azure IoT Central – March 2019
In this post, I will share new features now available in Azure IoT Central: embedded Microsoft Flow, updates to the Azure IoT Central connector, Azure Monitor action groups, multiple dashboards, and localization support. -
Azure Sphere ecosystem accelerates innovation
The Internet of Things (IoT) promises to help businesses cut costs and create new revenue streams, but it also brings an unsettling amount of risk. -
Accelerated AI with Azure Machine Learning service on Azure Data Box Edge
Along with the general availability of Azure Data Box Edge that was announced today, we are announcing the preview of Azure Machine Learning hardware accelerated models on Data Box Edge. -
Expanded Jobs functionality in Azure IoT Central
Since announcing the release of our Jobs feature during the IoT Central General Availability launch, we are excited to share how we are working to improve your device management workflow through… -
Microsoft and NVIDIA bring GPU-accelerated machine learning to more developers
With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale. -
Microsoft’s Azure Cosmos DB is named a leader in the Forrester Wave: Big Data NoSQL
We’re excited to announce that Forrester has named Microsoft as a Leader in The Forrester Wave™: Big Data NoSQL based on their evaluation of Azure Cosmos DB. -
Breaking the wall between data scientists and app developers with Azure DevOps
As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode). -
Microsoft and NVIDIA extend video analytics to the intelligent edge
Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds. -
Azure Machine Learning service now supports NVIDIA’s RAPIDS
Azure Machine Learning service is the first major cloud ML service to support NVIDIA’s RAPIDS, a suite of software libraries for accelerating traditional machine learning pipelines with NVIDIA GPUs.
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