Microsoft Azure Stack is an extension of Azure—bringing the agility and innovation of cloud computing to your on-premises environment and enabling the only hybrid cloud that allows you to build and deploy hybrid applications anywhere. We bring together the best of the edge and cloud to deliver Azure services anywhere in your environment.
Architectures to help you design and implement secure, highly-available, performant and resilient solutions on Azure.
Image classification with convolutional neural networks
Explore transfer learning, convolutional neural networks, and gradient-boosting decision tree algorithms.
Defect prevention with predictive maintenance
Learn how to use Azure Machine Learning to predict failures before they happen with real-time assembly line data.
Predict length of stay and patient flow with healthcare analytics
Learn how to predict capacity and patient flow for your hospital or healthcare facility to enhance the quality of care and improve operational efficiency.
Personalized marketing solutions
Find essential technology to market your products with personalized offers. Individualize your marketing for greater customer response using big-data insights.
Anomaly detection with machine learning
Microsoft Azure’s IT Anomaly Insights can help automate and scale anomaly detection for IT departments to quickly detect and fix issues.
Loan credit risk analyzer and default modeling
Using SQL Server 2016 with R Services, lenders can predict a borrower's credit risk and default probability to help issue fewer unprofitable loans.
Predictive marketing campaigns with machine learning and Spark
Learn how to build a machine-learning model with Microsoft R Server on Azure HDInsight Spark clusters to recommend actions to maximize the purchase rate.
Demand forecasting and price optimization for marketing
Predict future customer demand and optimize pricing to maximize profitability using big-data and advanced-analytics services from Microsoft Azure.
Optimize marketing with machine learning
Learn how to build a machine-learning model with SQL Server 2016 with R Services to optimize and manage marketing campaigns.