PREDICTIVE MAINTENANCE
Predictive Maintenance at the Edge
Prevent costly downtime in remote locations with a secure edge orchestration platform that enables AI model updates and remote asset monitoring for reliable predictive maintenance.
Why Enable Predictive Maintenance at the Edge?
Organizations managing critical assets in industries like manufacturing, transportation and energy face constant pressure to ensure equipment reliability, maximize uptime, and reduce maintenance costs. Traditional maintenance models are inefficient and often lead to unplanned outages, hefty maintenance expenses, and equipment failures. By enabling predictive maintenance at the edge, organizations can identify and resolve potential issues before they disrupt operations, preventing costly downtime and financial losses.
Process Data at the Edge for Faster, Lower-Cost Predictive Maintenance
Simplified Edge Data Processing
Reduce deployment times by 75%, keep AI models up to date, and monitor remote assets from a single pane of glass.
Zero Trust Security
Secure your AI models, data, and access controls, even in remote, unmonitored environments.
Resilient Connectivity
Maintain predictive model execution and seamless updates, even with air-gapped or intermittent connectivity challenges.
Lower TCO
Eliminate costly truck rolls and on-site support while reducing costly cloud bandwidth expenses.
Simplified Edge Data Processing Operations
- Deploy, monitor, and manage hardware-aware AI models across dispersed geographical sites at scale.
- Upgrade and replace retrained predictive AI models seamlessly across fleets.
- Remotely manage every aspect of device and application operations, without the need for on-site IT.
Zero-Trust Security
- Safeguard predictive AI models and machine health data with strong encryption in-flight and at rest, even in unsecured, remote locations.
- Ensure only approved and validated applications run and shared data is accessed only through application attestation.
- Enforce granular role-based access controls (RBAC) to enhance security and prevent unauthorized access.
- Address edge-specific security risks, including device loss, theft, unauthorized peripherals, and physical tampering.
Resilient Connectivity
- Manage and monitor device fleets and predictive AI models in challenging networking environments.
- Ensure resilient AI model execution and seamless updates, even with intermittent or air-gapped connectivity.
- Transition between connected, disconnected, and air gapped states automatically without disruption or manual intervention.
Lower TCO
- Lower total cost of ownership (TCO)with zero-touch deployment and remote management.
- Reduce hardware and maintenance costs by leveraging commodity hardware.
- Minimize expensive cloud bandwidth usage by processing data locally.
Case Study
How ZEDEDA Helped PeopleFlo Revolutionize Fluid Technology with Intelligent Industrial Pump Systems
Learn how PeopleFlo used ZEDEDA to transform industrial pump systems from passive, stand-alone and disconnected assets into smart, synchronized and connected networks.
Featured Partners
