Showing archive results for July 2015

In this post, you'll see how we helped a startup to extract structured data from images - using Project Oxford's image recognition.

How you can leverage the Azure Encryption Extensions library to easily encrypt data you store in Azure Blob Storage using Microsoft's proven Cryptographic Services Providers, and how you can upgrade existing Blob Storage code with minimal changes.

This document provides an overview of Alljoyn and working with the Heatworks water heater.

Computer vision is used in various industries to process camera data as part of an analytics pipeline. This post introduces a reusable pattern and set of algorithms for extracting objects of interest from depth camera data.

In this post, you’ll learn how one large enterprise determined the best deployment mechanism to be used for distributing their Windows line of business application.

Code and notes from a hackfest with Deis and Microsoft DX engineers to solve underlying issues for installing Deis on Azure and automating deployment.

Creating a framework to bootstrap enterprise single page applications with continuous Azure integration.

For various reasons, many customers want the ability to easily and efficiently move data from Amazon Web Services’ Simple Storage Service (S3) to Microsoft Azure storage. In this Case Study, you’ll see how to take the simple notion of cloud file-copy and make it fast and efficient using parallel techniques.

How to take advantage of Microsoft Azure HDInsight to run a remote Hadoop MapReduce job using Apache Templeton.

With the arrival of commodity depth-capable cameras, specifically, the Microsoft Kinect, as well as high-performance machine learning algorithms, entirely new capabilities are made possible. Working with academic experts and others, we are attempting to track the movements, body language, and vocalizations of dogs.