Research Report: How the IIoT Enhances Predictive Maintenance
Predictive Maintenance is a key part of the industry 4.0 megatrend and is becoming increasingly accessible to manufacturing operations of all sizes, from the global corporation to the small automotive supplier. While predictive maintenance was possible before the internet of things connectivity, the technology adds immense value for connecting assets, gathering data as well as storing and processing that data. The factory of the past aggregated data in a control room or local server. However, computer hardware, software and IT personnel have been prohibitively expensive.
How can an IoT platform such as Siemens Mindsphere or GE Predix add value to industrial asset maintenance?
What are the challenges of implementing an IIoT solution?
Is it safe to put sensitive data in the cloud?
These questions and more are answered in this research report, featuring industry experts from Siemens, SAP, AVEVA and AspenTech.
This research has been sponsored by Siemens PLM Software.
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