Demo: Predictive Analytics – Deploying to the Edge

Predictive Analytics – Deploying to the Edge • Set-up feeds from devices coming from manufacturing equipment • Use historical data and run it through machine learning algorithms to create models based on the data • Deploy these models in real-time to either a thin or thick edge • As the data is streamed, filter it and cleanse it and detect patterns that trigger the application of the model • Illustrate how the Digital Business Platform can support Predictive Maintenance for remote equipment and provide the required platform to support this Benefits • Predictive Analytics – Allows Manufacturers to monitor the live operational performance of equipment, only deploy a field technician when needed, minimize unplanned outages and guarantee service levels to customers • Improve service levels through the prediction of faults with the detailed diagnostics of each predicted fault • Reduce network overhead by pushing analytics closer to the device and only sending relevant data and analytics to a Central Server Faster Time to Market – Days Not Years • Adoption of fully customizable, ready-made software allows Manufacturers to focus on the value added activities For more information visit https://www.softwareag.com/corporate/products/internet_of_things/default