The Scalability of Data Science: Part 2 – The Reality of Deployment

By |April 14th, 2015|Categories: Predictive Analytics, Predictive Maintenance, Uncategorized|Tags: , |

To put my previous post into perspective, let me give you a for instance… An organization wants to develop a deployed predictive analytics solution for an entire class of commuter trains. Let’s be modest and go with 10 different instances from within the data (e.g.,  1) predicting engine failure, 2) turbo charger pressure loss, 3) door malfunction, … and so on…). We’ll focus on just one…

Data from dozens of assets (i.e., trains) are streaming in by the […]