Linkedin

  • Home >
  • Build an architecture with real-time machine learning inference and low-code web application UI on Azure

Build an architecture with real-time machine learning inference and low-code web application UI on Azure

Project Overview

Project Detail

This solution expands on Citizen AI with the Power Platform, which provides a high-level example of a low-code, end-to-end lambda architecture for real-time and batch data streaming. It covers how to deploy machine learning models for real-time and batch inference. This article also covers how to consume these models by using an end-user application or analyzing results in Power BI.

https://learn.microsoft.com/en-us/azure/architecture/example-scenario/ai/deploy-real-time-machine-learning-model-application-ui

To know more about this project connect with us

Build an architecture with real-time machine learning inference and low-code web application UI on Azure