Care and Feeding of Predictive Maintenance Solutions

This post is authored by John Ehrlinger, Data Scientist at Microsoft. Microsoft has recently launched Azure Machine Learning services (AML) to public preview. The updated services include a Workbench application plus command-line tools to assist in developing and managing machine learning solutions through the entire data science life cycle. An Experimentation Service handles the execution… Read more

Home Appliances, Vending Machines – Even Cruise Ships – Get an Infusion of Cortana Intelligence & Machine Learning

A quick overview of recent customer case studies involving the application of Microsoft’s AI, Big Data & Machine Learning offerings. Carnival Maritime Predicts Water Consumption on Cruise Ships The Costa Group’s fleet of 26 cruise ships sail all over the world. The industrial equipment on their ships have thousands of sensors that collect data in… Read more

Building & Understanding Predictive Maintenance Solutions for the Aerospace Industry

This post is by Rahee Ghosh, a Program Manager in the Data Group at Microsoft. We are pleased to announce the availability of new resources on GitHub to help businesses in the aerospace industry better understand their opportunities to benefit from advanced analytics solutions for predictive maintenance. These predictive maintenance solutions, creating using the Cortana… Read more

Predictive Maintenance Modelling Guide in the Cortana Intelligence Gallery

This post is authored by Fidan Boylu Uz, Senior Data Scientist at Microsoft. Predictive Maintenance is among the most sought-after advanced analytics applications, and is increasingly viewed as a life-saver in asset-heavy industries such as manufacturing and aerospace because of its potential to deliver significant cost reductions through the avoidance of downtime and delays caused… Read more

Evaluating Failure Prediction Models for Predictive Maintenance

This post is by Shaheen Gauher, PhD, Data Scientist at Microsoft Introduction Predictive Maintenance is about anticipating failures and taking preemptive actions. Recent advances in machine learning and cloud storage have created a tremendous opportunity to utilize the gamut of data coming from factories, buildings, machines, sensors, and more to not only monitor equipment health… Read more

Predictive Maintenance for Aerospace – A Cortana Analytics Solution Template

This post is authored by Danielle Dean, Senior Data Scientist Lead at Microsoft. The aerospace industry involves many complex challenges including intricate logistics and lends itself to several very impactful applications that involve connecting assets and devices through the Internet of Things and deriving actionable insights from deep analytics. The combination of IoT and advanced… Read more

Building Predictive Maintenance Solutions with Azure ML – Webinar Summary

This blog post is authored by Yan Zhang, Data Scientist at Microsoft. Last month, we hosted an advanced analytics webinar on building predictive maintenance solutions. This blog post is a summary of the same. Predictive Maintenance: IoT vs. Traditional Predictive maintenance has been gaining attention lately because of the increased interest around Internet of Things… Read more

Free Webinar: Building Predictive Maintenance Solutions with Azure ML

Predictive maintenance is a technique to predict when a machine will fail, so that maintenance can be planned for in advance. The concept applies to a very wide range of applications. This webinar will walk you through a real-world example of how to formulate a failure prediction problem in Azure ML and deploy the same… Read more

New Predictive Maintenance Template in Azure ML

This blog post is authored by Yan Zhang, Data Scientist at Microsoft. Following the publishing of three Azure ML template solutions for online Fraud Detection, Retail Forecasting, and Text Classification, we are now pleased to announce that the Predictive Maintenance template is now available in Azure ML.   Predictive maintenance encompasses a variety of areas but… Read more

Video – ThyssenKrupp Uses Predictive Analytics to Give Burgeoning Cities a Lift

This is our second post in a series on how Microsoft customers are gaining actionable insights on data by operationalizing ML at scale in the cloud. Based on an IoT (Internet of Things) case study, this post is by Vinod Anantharaman, Head of Business Strategy at Microsoft’s Information Management and Machine Learning (IMML) team. Urban… Read more