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Often machine learning (ML) problems are too complex for a single ML model to solve. Learn about many models machine learning at scale in Azure with […]

Use Azure network security capabilities, such as virtual networks, network peering, Private Link, and private DNS zones to protect MLOps solutions.

Build an automated document processing pipeline. Use AI Document Intelligence to extract data and natural language processing models to enrich the data.

Find out how to automate video analysis. Use Computer Vision and Azure Machine Learning to analyze your content.

Learn how to build, deploy, and monitor a machine learning model for employee attrition that can be integrated with external applications using Databricks and Kubernetes.

Use Azure Machine Learning, Azure Synapse Analytics, App Service, and Power BI to model loan credit risk and default probability.

See Azure options for orchestrating, storing, building, deploying, and using custom document processing models.

Review a list of architectures and solutions that use Microsoft on-premises technologies on Microsoft Azure.

Learn about a scalable, secure AKS microservices architecture that builds on recommended AKS microservices baseline architectures and implementations.

Use Azure IoT Edge, MLOps, and human-in-the-loop notifications to train and deploy an ML computer vision solution for manufacturing.

This architecture shows how the Raincode COBOL compiler modernizes mainframe legacy applications.