BMC Helix Edge

Anomaly detection

Identify irregular patterns in real-time for proactive intervention.

Predictive maintenance

Anticipate maintenance needs to reduce downtime and extend asset life.

Edge asset inventory & lifecycle management

Track and manage the entire lifecycle of edge assets for optimized performance.

Broad protocol support

Connect to industry protocols and standards, enabling interoperability with a variety of IoT endpoints, embedded devices, and sensors.

Flexible system compatibility

Guarantee smooth integration with OT systems, PLCs, and non-standard devices for robust data monitoring and analysis.

Contextual data aggregation

Collect and unify data from diverse sources to provide a complete, insightful view at the edge.

Harmonized contextual data integration

Connect with external systems to enrich asset data with critical context, providing a more complete understanding.

Holistic insight

Break down silos and ensure a unified, practical view for more informed decision-making.

Expanded visibility

Enable a comprehensive, real-time view of all assets, improving operational efficiency and risk management.

ML inference at the edge

Employ ai/ml capabilities to detect anomalies and drive smarter actions at the edge.

AI/ML model simplification

Optimize the management of models and inference rules for unified integration with edge systems.

Easier intelligent decision making

Implement ai-driven insights effortlessly for improved operational efficiency and decision-making at the edge.