FogHorn announces availability of Lightning ML, latest IIoT platform

Published 17 July 2017

Posted by Stephen Holmes

Article tagged with: hardware, iot, cloud, iiot, foghorn

IIoT platform Lightening ML utilises machine learning and a tiny software footprint to gain the most useful information from Big Data

Integrating machine learning capabilities and compatibility across all major IIoT edge systems, FogHorn has launched Lightening ML, its latest platform for the industrial Internet of Things (IIoT).

“FogHorn is accelerating the pace of innovation in edge computing by not just democratising analytics but by making machine learning accessible to industrial operators,” said FogHorn CEO David C. King.

The company states that the new platform utilises the power of machine learning in ‘three groundbreaking’ ways’:

- Leverages existing models and algorithms: Industrial customers can seamlessly plug in and execute proprietary algorithms and machine learning models on live data streams produced by their physical assets and industrial control systems.

- Makes machine learning OT-accessible: Non-technical personnel can use FogHorn’s tools to generate powerful machine learning insights without the need to constantly rely on in-house or third party data scientists.

- Runs in tiny software footprint: Lightning ML enables complex machine learning models to run on highly-constrained compute devices such as PLCs, Raspberry Pi systems, tiny ruggedized IIoT gateways, as well as more powerful Industrial PCs and servers. Even with the addition of advanced machine learning capabilities, the complete Micro edition of the Lightning ML platform requires less than 256MB of memory footprint.

The platform can run entirely on premise or connect to any private cloud or public cloud environment, while a simplified drag-and-drop authoring tool allows operators to focus on translating their expertise into analytics and machine learning insights.

This newest version is also systems-agnostic and supports 32-bit implementations of ARM Cortex-A processors - one of the most widely used processor types for IIoT deployments.

Combined with its software miniaturisation and machine learning capabilities, Foghorn expects this should make edge intelligence available to a higher number of compute devices from many different hardware vendors.

“The addition of FogHorn Lightning ML is a monumental leap forward in delivering on the promise of actionable insights for our IIoT customers,” continued King.

“In the initial launch of FogHorn’s Lightning platform, we successfully miniaturised the massive computing capabilities previously available only in the cloud. This allows customers to run powerful big data analytics directly on operations technology (OT) and IIoT devices right at the edge through our complex event processing (CEP) analytics engine.

“With the introduction of Lightning ML, we now offer customers the game changing combination of real-time streaming analytics and advanced machine learning capabilities powered by our high-performance CEP engine.”

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