REMOTE ASSET MONITORING
Monitor Assets with AI Precision
Gain real-time visibility and insights into asset performance with advanced remote monitoring tools.
OVERVIEW
Transform Asset Monitoring with AI-Driven Insights
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
BENEFITS
Key Benefits of Remote Asset Monitoring
Empower your team with intelligent tools for efficient, scalable, and sustainable asset management.
Enterprise-Level Data Aggregation:
Aggregate OT data from multiple sources using pre-built industrial device integrations and connectors like MQTT and SCADA.
Scaled Operations Across Sites:
Use a centralized, customizable dashboard to visualize current and historical trend data across multiple sites.
AI-Powered Anomaly Detection:
Detect and analyze anomalies in asset behavior to minimize downtime and extend the asset lifecycle.
Advanced Root-Cause Analysis:
Access historical data for forensic analysis and integrate seamlessly into existing EAM workflows for faster resolutions.
IoT-Driven Value Extension:
Deploy rapidly in the cloud, enabling predictive algorithms and asset health scoring for stepwise IoT enhancements.
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.
