Edge Intelligence Fortifies IoT Designs Testing

Enabling high-fidelity, real-time analytics, and edge-based machine learning, ADLINK Technology partners with FogHorn Systems to bring edge intelligence to its DXS IoT digital experiments as-a-service. DXS enables the testing of potential IoT-based endeavors to determine the viability of possible solutions with none of the upfront costs and risk associated with a full solution commitment.

 

 Full IoT solutions conventionally require significant upfront investment, despite, according to industry studies, success rates for such projects only reaching 26%. The vendor-agnostic DXS provides all the resources required to get digital experiments up and running including pre-validated hardware, client asset connection, data movement consolidation to bridge the IT/OT gap, enterprise sharing, endpoint management, and field and professional services¾without associated upfront costs.

Free Monthly Newsletter

Compelling read? Subscribe to FierceEmbeddedTech!

The embedded tech sector runs the market’s trends. FierceEmbeddedTech subscribers rely on our suite of newsletters as their must-read source for the latest news, developments and analysis impacting their world. Sign up today to get news and updates delivered to your inbox and read on the go.

 

FogHorn’s Lightning product portfolio addresses IIoT apps by embedding edge intelligence as close as possible to the source of streaming sensor data. The FogHorn platform is described as a compact, advanced, and feature-rich edge intelligence solution that delivers unprecedented low latency for onsite data processing and real-time analytics in addition to its machine learning (ML) and artificial intelligence capabilities.

 

FogHorn’s cloud-agnostic approach offers a fully-integrated, closed-loop edge-to-cloud solution, maximizing real-time insights and rapidly iterating ML models to adjust to constantly changing operating conditions. FogHorn Lightning features include:

  • Real-time, CEP-based streaming analytics enabling faster actionable insights for greater operating efficiencies
  • Edge-to-cloud iterative machine learning for higher quality predictive insights
  • Radically lower data persistence and transport requirements by processing live data at the source
  • Enhanced security posture by eliminates the need to transmit critical OT data across networks

 

Navigate through the IoT fog and learn more about FogHorn Lightning products. Also pay a visit to ADLINK for further enlightenment.

Suggested Articles

Iowa State University researchers are working with NSF grant

Brain Corp. reported a sharp increase in autonomous robot usage in 2Q

Nvidia DGX accelerators helped train system from 150,000 chest X-rays with inference results in less than a second