Predictive Asset Maintenance with Edge Compute

Asset Disruption Impacts Business

Outages or other operational disruptions in manufacturing, logistics, industrial, transportation, oil & gas, construction, rail, aviation, healthcare or utility industries create margin and revenue pressures within an environment of regulatory constraint. Challenges with managing assets that are diverse, complex, and spread over large geographical areas are coupled with trying to balance spending either too much on preventative maintenance or not enough before corrective maintenance or even a catastrophic failure. Asset tracking and maintenance now require predictive and cognitive capabilities to ensure optimal asset lifecycles and efficient operations that positively impact the bottom line.

Capgemini solution provides quicker response at the edge

Capgemini’s Predictive Asset Maintenance solution addresses these industry issues and intelligently monitors assets, aggregates machine behavior data sent from each asset at the edge using powerful Intel based technology, analyzes it, and recommends precise responses and actions, predicting when a machine or device failure might occur or when maintenance is required.

Predictive Asset Maintenance Delivers Results

Capgemini’s Predictive Asset Maintenance solution with Edge Compute improves production capabilities and extends service life. The solution will help solve future machine issues quickly because each machine is continually monitored. Solution connectivity will also allow deployment of new services by leveraging automatic, ubiquitous and comprehensive reporting, recording and maintaining accurate historical data for machine learning, and process improvement.

Capgemini featured a live demo during Hannover Messe 2019 at the Intel booth.

Capgemini demo’d our manufacturing production line defect detection solution featuring Predictive Asset Maintenance with Edge Compute at Hannover Messe 2019.
Hannover Messe 2019 Event landing page

Learn how a major aircraft manufacturer deployed the solution to save over 6M Euros in cost:

People, Technology Power Machine Uptime

Predictive Asset Maintenance with Edge Compute is an official Intel IoT Solutions Alliance Market Ready Solution

Interested in this solution or other Smart Services?

Please contact:

Philippe Ravix
XIoT Global Solution Leader

Charles Cote
North America and Latin America XIoT Solution Architect

Daniel Coudriet
Predictive Maintenance Business Development Lead

Francois Calvignac
Digital Manufacturing and Predictive Maintenance Manager

Guillaume Pichard
Digital Manufacturing and Predictive Maintenance Solution Architect



Predictive Asset Maintenance with Edge Compute

Gartner predicts by 2022, that spending on IoT-enabled predictive maintenance will increase to $12.9 billion, up from $3.4 billion in 2018.