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Unlocking $100M+ in Predictive Maintenance Value Through Edge Infrastructure
- Industrial companies often struggle to scale predictive maintenance initiatives beyond successful pilots, mainly due to infrastructure challenges.
- While algorithms and sensors are vital, the key to unlocking enterprise-wide predictive maintenance lies in addressing scalability issues in connecting the technology.
- The data challenge posed by the massive amount of sensor-generated data requires processing at the edge to avoid latency in time-critical applications.
- Successful predictive maintenance implementation integrates data seamlessly with enterprise systems to generate work orders and minimize disruptions.
- Creating standardized edge infrastructure is crucial for scaling predictive maintenance, reducing costs, and complexity when implementing the technology across assets.
- Companies that invest in a standardized infrastructure for predictive maintenance see exponential returns, with potential savings reaching tens of millions of dollars by scaling the initiative.
- The competitive advantage in industrial predictive maintenance lies in leveraging standardized edge infrastructure for enterprise-wide transformation.
- Success in predictive maintenance is determined by early recognition of the importance of edge infrastructure, enabling industrial intelligence at scale.
- The time is now to invest in standardized infrastructure for predictive maintenance to stay competitive and reap the benefits of enterprise-wide implementation.
- Building a solid foundation in edge infrastructure is essential for embracing the future of industrial intelligence in prescriptive maintenance.
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