CSE Developer Blog

Real-time Streaming Of 3D Enterprise Applications From The Cloud To Low-powered Devices
Real-time Streaming Of 3D Enterprise Applications From The Cloud To Low-powered Devices
Microsoft recently partnered with AVEVA, an engineering, design and management software provider to the Power, Oil & Gas and Marine industries. AVEVA’s challenge is one that is becoming more and more common in the construction visualization space: ever increasing complexity of 3D data that needs to be highly interactive to a customer ...
Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model
Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model
Background Watch this episode of the Decoded Show for an in-depth look with Gary Bradski, the inventor of OpenCV, and the Nestlé team. In the Global Burden of Disease Study 2015, Acne was identified as the 8th most common disease in the world and is estimated to affect as many as 700 million people globally. This skin health ...
Running Parallel Apache Spark Notebook Workloads On Azure Databricks
Running Parallel Apache Spark Notebook Workloads On Azure Databricks
Background and Problem Definition In today’s fast-moving world, having access to up-to-date business metrics is key to making data-driven customer-centric decisions. With over 1000 daily flights servicing more than 100 cities and 42 million customers per year, JetBlue has a lot of data to crunch, answering questions such as: What is the ...
Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services
Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services
Business Problem For a subscription service business, there are two ways to drive growth: grow the number of new customers, or increase the lifetime value from the customers that you already have by retaining more of them. Improving customer retention requires the ability to predict which subscribers are likely to cancel (referred to as churn...
Real-Time Time Series Analysis at Scale for Trending Topics Detection
Real-Time Time Series Analysis at Scale for Trending Topics Detection
Managing big cities and providing citizens public services requires municipalities to have a keen understanding of what citizens care the most about. And, as the cities we live in seek more and more to become the 'smart cities' of tomorrow, this means gathering and analyzing vast amounts of data. Data gathered from social and municipal sources...
Improving Safety and Efficiency in BMW Manufacturing Plants with an Open Source Platform for Managing Inventory Delivery
Improving Safety and Efficiency in BMW Manufacturing Plants with an Open Source Platform for Managing Inventory Delivery
Background German car manufacturer BMW has always been at the forefront of technological advancement within the auto industry. And a major part of the company’s innovation focus is on its production system, ensuring quality and flexibility alike. When it comes to cutting-edge production systems, and more precisely logistics, new ...
Social Stream Pipeline on Databricks with auto-scaling and CI/CD using Travis
Social Stream Pipeline on Databricks with auto-scaling and CI/CD using Travis
Background For the tech companies designing tomorrow’s smart cities, making local authorities able to collect and analyze large quantities of data from many different sources and mediums is critical. Data can come from different sources – from posts on social media and data automatically collected from IoT devices, to information ...
Active Learning for Object Detection in Partnership with Conservation Metrics
Active Learning for Object Detection in Partnership with Conservation Metrics
Introduction Using artificial intelligence to monitor the progress of conservation projects is becoming increasingly popular. Potential applications range from preventing poaching of endangered species to monitoring animal populations in remote, hard-to-reach locations. While proven to be extremely effective, computer vision AI projects ...
How to Build A K8S Http API For Helm, and Serve Micro-services Using A Single IP
How to Build A K8S Http API For Helm, and Serve Micro-services Using A Single IP
Image credit: Pexels.com Background Axonize is a global provider of an IoT orchestration platform which automates the process of IoT deployments, cutting the process down from months to days. Their innovative platform consists of Data Gateways, which can accept even non-standard IoT sensor input, reformat the payload, and then deliver ...
Attaching and Detaching an Edge Node From a HDInsight Spark Cluster when running Dataiku Data Science Studio (DSS)
Attaching and Detaching an Edge Node From a HDInsight Spark Cluster when running Dataiku Data Science Studio (DSS)
Background Microsoft Global Partner Dataiku is the enterprise behind the Data Science Studio (DSS), a collaborative data science platform that enables companies to build and deliver their analytical solutions more efficiently.  Microsoft has been working closely with Dataiku for many years to bring their solutions and integrations ...
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