We demonstrate how we migrated the compute resources of a genomics intelligence platform to Azure, transferring more than 100 TB of blob storage and handling application secrets without embedding the Azure SDK.
We created an easy-to-use tool for visualizing data from Microsoft Azure Application Insights with a dashboard framework. Our solution can be applied to different bot scenarios as well as other scenarios involving the service.
We address the challenge of creating a custom search experience for a specific domain area. We also provide a guide for creating your own custom search experience by leveraging Azure Search and Cognitive Services and sharing custom code for iterative testing, measurement and indexer redeployment.
An overview of different image classification approaches including Microsoft Azure Custom Vision Service and CNTK for various levels of classification complexity.
We built a bot with Microsoft Bot Framework (MBF) to tap into a multitude of channels, including a client's existing Android app, and implemented localization features, to connect with potential customers on their preferred online platforms.
Claiming expenses is usually a manual process. This project aims to improve the efficiency of receipt processing by looking into ways to automate this process.
This code story describes how we created a skeletal framework to achieve the following:
We found a few challenges in addressing these goals. For instance, the ...
We collaborated on an image classification pipeline to perform automatic face detection and matching using machine learning via Microsoft Cognitive Services Face API. Our project was built with Azure Functions to process images using message queues.
When considering bots, it’s often important for organizations to have the ability to “hand off” a customer from a bot to a human agent seamlessly. We implemented an unopinionated e-2-e solution called Handoff for bot authors to implement a variety of scenarios, using the Microsoft Bot Framework Node.js SDK.