Deep learning algorithms capable of learning and predicting customer behavior are allowing businesses to intervene with the right retention offers at the right time. CSE recently partnered with Majid Al Futtaim Ventures (MAF) to design and deploy a machine learning solution to predict attrition.
This code story describes CSE’s work with ZenCity to create a data pipeline on Azure Databricks supported by a CI/CD pipeline on TravisCI. The aim of the collaboration was to create a pipeline capable of processing a stream of social posts, analyzing them, and identifying trends.
Developing robust algorithms for self-driving cars requires sourcing event data from over 10 billion hours of recorded driving time. CSE worked with Cognata, a startup developing simulation platforms for autonomous vehicles, to build a Jenkins pipeline and Terraform solution that enabled our partner to dynamically scale GPU resources for their simulations.
We developed an Electron-based app using Microsoft Intune cloud service for management and distribution across a broad range of devices.
We created an azure-cli extension to simplify the process of distributing VM images globally.
We worked with Aveva to build 3DToolkit, a toolkit for creating powerful cloud-based 3D experiences that stream on low-powered devices with WebRTC.
This article describes how to use GitHub, Travis CI and Docker Compose to build a simple continuous delivery pipeline to deploy Linux Docker containers to a Service Fabric cluster of Linux hosts.
This article covers how to take a standard Python web service consisting of an application tier, a WSGI server, and a Nginx reverse proxy and deploy it via Linux containers to a Linux cluster managed by Azure Service Fabric using only simple tooling like Docker Compose.
We demonstrate how to train Object Detection models using CNTK and Tensoflow DNN frameworks. Azure ML Workbench is used as the main training and model hosting infrastructure.
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.