Name: Using IIoT to Become a More Predictive Organization: Case Study - GE Appliances
Uploaded: 2018-06-04T00:00:00Z
Description: Do you know what to do with your IoT data? Are you having issues collating and understanding your data so it is actionable?

Asset Condition Management

Using IIoT to Become a More Predictive Organization: Case Study - GE Appliances

Asset Condition Management

IMC-2017 Learning Session - 40:15
by Scott Shaver, GE Appliances, and Bob Stallard, Viziya Corp

Do you know what to do with your IoT data? Are you having issues collating and understanding your data so it is actionable? Are you finding it difficult to streamline your work management process because you can’t connect the data to the right systems?

You are not alone. Imagine an IoT product that is being used successfully by several Fortune 1000 companies that addresses the data intelligence gap, and delivers on the promise of IoT to:

Connect your sensor data to your CMMS
Make that data actionable: i.e. generate work orders, work requests, assign priorities, trigger events
Write the data back to the historian
Ultimately, create a more predictive maintenance organization