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Setting up a multi-resource metric alert rule

Monitor at scale in Azure Monitor with multi-resource metric alerts

Our customers rely on Azure to run large scale applications and services critical to their business. To run services at scale, you need to setup alerts to proactively detect, notify, and remediate issues before it affects your customers. However, configuring ... continue reading
Screenshot of the new Azure AD Identity Protection Security Overview dashboard.

The evolution of Microsoft Threat Protection, February update

February is an exciting month of enhancements for Microsoft Threat Protection. For those who have followed our monthly updates (November, December, and January), youre aware that Microsoft Threat Protection helps provide users optimal security from the moment they sign in, ... continue reading
Anomaly detection using machine learning in Azure Stream Analytics

Anomaly detection using machine learning in Azure Stream Analytics

Azure Stream Analytics is a fully managed serverless offering on Azure. With the new Anomaly Detection functions in Stream Analytics, the whole complexity associated with building and training custom machine learning (ML) models is reduced to a simple function call ... continue reading

Anomaly detection using built-in machine learning models in Azure Stream Analytics

Built-in machine learning (ML) models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. This feature is now available for public preview worldwide both in the cloud and ... continue reading
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How to avoid overstocks and understocks with better demand forecasting

Promotional planning and demand forecasting are incredibly complex processes. Take something seemingly straight-forward, like planning the weekly flyer, and there are thousands of questions involving a multitude of teams just to decide what products to promote, and where to position ... continue reading
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PyTorch on Azure: Deep learning in the oil and gas industry

This blog post was co-authored by Jürgen Weichenberger, Chief Data Scientist, Accenture and Mathew Salvaris, Senior Data Scientist, Microsoft Drilling for oil and gas is one of the most dangerous jobs on Earth. Workers are exposed to the risk of ... continue reading

Securing the future of AI and machine learning at Microsoft

Artificial intelligence (AI) and machine learning are making a big impact on how people work, socialize, and live their lives. As consumption of products and services built around AI and machine learning increases, specialized actions must be undertaken to safeguard ... continue reading
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Step-By-Step: Getting Started with Azure Machine Learning

Artificial Intelligence (AI) study and use is on the rise. Tools to enable AI are becoming more readily available, simpler to use and easier to implement. What's more is that the definition of AI itself has been broken down into ... continue reading

Lighting up healthcare data with FHIR®: Announcing the Azure API for FHIR

In the last several years we’ve seen fundamental transformation in healthcare data management, but the biggest, and perhaps most important shift, has been in how healthcare organizations think about cloud technology and their most sensitive health data. Healthcare leaders have ... continue reading
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