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Maintenance 4.0:  Who are the Winners and Losers?

Maintenance 4.0: Who are the Winners and Losers?

Maintenance 4.0 combines   Machine Learning based Predictive Maintenance, Automation of Failure Reporting, Scheduling, Parts Management etc., and Robotics/Drone Assisted Repair. The adoption of Maintenance 4.0 has broad implications for the industrial sector.  We do...
Infographic: How Digital Transformation Impacts the Role of OEMs

Infographic: How Digital Transformation Impacts the Role of OEMs

Industry 4.0 is transforming the role of OEM in maintenance activities. An important change is Hardware as a Service (Haa) whereby OEMs will retain equipment ownership and also be responsible for asset maintenance. This model was pioneered by Rolls-Royce in the...
Infographic:  Best Practices for Implementing Industry 4.0 Machine Learning Predictive Maintenance

Infographic: Best Practices for Implementing Industry 4.0 Machine Learning Predictive Maintenance

The successful deployment of Industry 4.0 Predictive Maintenance is based on the orchestration of multiple groups within an industrial organization.  This infographic outlines the People, Process, and Technology that form the basis of Machine Learning PdM solution...
How to scale Machine Learning-based Predictive Maintenance solutions

How to scale Machine Learning-based Predictive Maintenance solutions

Most Machine Learning for Predictive Maintenance projects never get off the ground or are stuck in PoC Purgatory. According to a study by Cisco,  60% of IoT initiatives stalled at the proof-of-concept stage.  The following is the first article in a series...
The Future of IIoT Predictive Maintenance

The Future of IIoT Predictive Maintenance

The Future of IIoT Predictive Maintenance A Combined Study by Emory University and Presenso Introduction Summary of Findings 1.0 The Current State of Predictive Maintenance 2.0 The Outlook for Industry 4.0 Maintenance Technologies 3.0 Perspectives on IIoT Predictive...