24.2 features

Review the BMC Helix Edge 24.2 features that will benefit your organization and understand features that might help your users.

Core-node communication through NATS: Introduced NATS (Neural Autonomic Transport System) for secure and efficient communication between core and edge nodes.
Authentication of inbound calls into OT network: Implemented authentication mechanisms to ensure inbound communications security in the Operational Technology (OT) network.
Data aggregation enhancements from edge to core:
- Added the ability to adjust the downsampling frequency at the profile level for optimized data transmission.
- Enabled specification of aggregation methods per metric level for flexible data processing.
- Provided the option to turn on/off sampling at the node level for debugging and real-time data analysis.
EdgeX v3 upgrade:
- Upgraded EdgeX to version 3 for enhanced functionality and compatibility.
- Adapted to Angular v17 for improved user experience.
New example for writing complex rules: Added comprehensive documentation with examples for writing complex rules in the OT domain.
Metering dashboard for license entitlement: Introduced metering dashboard to track the usage of license entitlements from various sources, such as Edge Nodes, Machine Learning Modules, and Contextual Data Ingestion APIs.
Support for customer certificates: Added support for customer certificates to enhance security and customization.

Edge data ingestion: Ingest edge data by using industry-standard Industrial Internet of Things (IIOT) protocols and connectors supported by the EdgeX community.
Edge device configuration and actuation: Manage device configurations and run commands directly from the BMC Helix Edge environment on edge devices.
Edge asset remediation: Remediate Edge assets based on predefined rules or Machine Learning inference by using a comprehensive workflow engine integrated into BMC Helix Edge.
Inference @Edge: Deploy extensible MLOps framework at the edge enabling users to select algorithms and metrics for training and train models using AI Foundation in BMC Helix Platform, followed by deployment to edge nodes.
Reactive discovery of OT assets: Automatically discover OT assets at data ingestion based on data patterns, ensuring comprehensive asset discovery and management.
Contextual data integration with Edge data: Achieve IT/OT convergence by integrating business applications with domain-specific data such as weather, radio, satellite data, and more, enhancing contextual insights at the edge.
Deployment on Edge: BMC Helix Edge is deployed at the network's edge, providing organizations with real-time insights and actionable intelligence to optimize operational efficiency and make sure business continuity.

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