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