BMC Helix Edge overview

BMC Helix Edge offers the management of Internet of Things (IoT) Edge infrastructure through its advanced analytics and remediation framework. It serves as a strategic tool for IT and OT professionals, aiding decision-makers in effectively navigating the complexities of modern IoT and edge environments. It collects, processes, and analyzes data at the edge, providing automation and remediation directly at the edge. Machine Learning models detect anomalies, offer predictive maintenance, and enhance operational excellence.

Helix Edge Overview.png

The following video explains about IoT and the gap in the industry that the BMC Helix Edge technology fills:

icon_play.pngWatch this YouTube video to learn how BMC Helix Edge is adept at bridging the IT-to-OT gap through its innovative approach to current operational methodologies.

Tips

To view all videos for the product, navigate to Videos. 

Click Subscribe to receive notifications about new BMC Docs videos on YouTube. 

Key features

With BMC Helix Edge, users can harness operational data, ensuring predictive monitoring, real-time insights, and seamless security. 

BMC Helix Edge:

  • Captures critical operational insights by collecting data at its inception, ensuring no valuable information, from sensor readings to transaction data, goes unnoticed.
  • Fortifies every step of the data journey with industry-leading measures, protecting against unauthorized access and maintaining data integrity.
  • Provides enterprise-wide visibility, offering a unified view of operational data. This holistic perspective fosters collaboration and enhances operational efficiency by aligning departments toward shared goals.

Usage scenarios

The following usage scenarios illustrate the applications of BMC Helix Edge:

Anomaly detection

  • Monitor remote devices and equipment.
  • Gather data from IoT devices at the source.
  • Analyze data locally and avoid transmitting raw data in bulk to the cloud or data center.
  • Employ AI and ML capabilities from traditional IT systems to identify unusual activities.

Predictive maintenance 

  • Remediate issues at the edge.
  • Conduct data analysis and detection.
  • Implement automation and remediation functions at the edge.
  • Bridge the gap between IT remediation and OT environments.

Asset inventory

  • Detect assets at the edge.
  • Store catalog systems at the edge.
  • Automate the discovery and cataloging of new devices.

Asset lifecycle management

  • Determine optimal times for repair or replacement.
  • Track the usage of devices throughout their lifespan compared to their expected duration.
  • Monitor maintenance requirements and initiate maintenance cycles at appropriate intervals.


 

Tip: For faster searching, add an asterisk to the end of your partial query. Example: cert*