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Remote Asset Monitoring

Gain real-time visibility and insights into asset performance with advanced remote monitoring tools.

Monitor Assets with AI Precision

IBM Maximo Monitor integrates data streams from diverse sources to provide real-time tracking and anomaly detection. Leverage AI-powered tools for root-cause analysis and proactive maintenance, ensuring operational resilience and cost reduction.

Empower your team with intelligent tools for efficient, scalable, and sustainable asset management.

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Enterprise-Level Data Aggregation

  • toptech Aggregate OT data from multiple sources using pre-built industrial device integrations and connectors like MQTT and SCADA.
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Advanced Root-Cause Analysis

  • toptech Access historical data for forensic analysis and integrate seamlessly into existing EAM workflows for faster resolutions.
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Scaled Operations Across Sites

  • toptech Use a centralized, customizable dashboard to visualize current and historical trend data across multiple sites.
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IoT-Driven Value Extension

  • toptech Deploy rapidly in the cloud, enabling predictive algorithms and asset health scoring for stepwise IoT enhancements.
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AI-Powered Anomaly Detection

  • toptech Detect and analyze anomalies in asset behavior to minimize downtime and extend the asset lifecycle.

Real-World Applications of Asset Monitoring

Discover how organizations leverage IBM Maximo Monitor for superior asset management.

Optimizing Utility Asset Monitoring

Problem: Utilities struggled with delayed detection of equipment failures, causing costly service disruptions.
Solution: IBM Maximo Monitor provided AI-driven anomaly detection and root-cause analysis.
Outcome: Reduced downtime by 35%, enhanced service reliability, and minimized operational costs.

Enhancing Manufacturing Line Efficiency

Problem: Complex data streams hindered real-time monitoring of manufacturing equipment, leading to inefficiencies.
Solution: Maximo Monitor unified data streams and visualized trends via a single dashboard.
Outcome: Improved operational efficiency by 30% and extended equipment lifecycles.