We use Deep Learning to turn a painful and time-consuming leak-detection task for water and oil pipelines into a fast, painless process. Using Python and Fast Fourier Transforms, we turn audio sensor data into images, then use Convolutional Neural Networks to detect and classify pipeline anomalies.
SaltStack delivers infrastructure as code and configuration management with an abstraction of the cloud provider selected. We will illustrate the end-to-end process of how we provisioned and configured the deployment of an ElasticSearch cluster on Azure using SaltStack.
This walk-through shows how to use a Layer 7 proxy on Azure to protect an Ethereum Blockchain client's JSON-RPC endpoint and provide additional capabilities, such as secure channels, tracking, and even analytics.
This code story describes how we collaborated with a partner to create a continuous delivery solution that runs on multiple cloud platforms using Jenkins.
We partnered with General Fusion to develop and deploy their new Pachyderm-based data infrastructure to Microsoft Azure. This post walks through General Fusion’s new data architecture and how we deployed it to Azure.
Creating an add-in for Microsoft Office to certify and verify documents using the Stampery APIs and blockchain technology.
Creating an object detection model using Microsoft's open source deep learning framework CNTK and its implementation of Fast-RCNN.
Building a video tagging tool on top of CNTK to enable developers to create, review and iterate object detection models.
This post outlines the steps of creating a bot that interacts with a user to collect missing LUIS entity data before processing their request.
Using Microsoft Bot Framework, we were able to create an easy to maintain "Orchestration Bot" that can both manage sub-bots and provide multilingual support.
