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FogHorn Unveils Groundbreaking Lightning Edge Intelligence 2.0

By   /  October 10, 2018  /  No Comments

According to a recent press release, “FogHorn, a leading developer of edge intelligence software for industrial and commercial Internet of Things (IoT) solutions, announced today the availability of its Lightning™ 2.0 software. The additions to the Lightning portfolio establish new industry benchmarks for edge-based machine learning (EdgeML®), massively scalable edge deployment support, zero-touch sensor configuration, out-of-the-box multi-cloud integration, and next generation OT (Operational Technology) tools. FogHorn’s Lightning product portfolio brings a groundbreaking dimension to industrial IoT (IIoT) by embedding edge intelligence locally, as close to the source of streaming sensor data as possible. The FogHorn platform is a highly 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 ML and artificial intelligence (AI) capabilities.”

Pierce Owen, principal analyst at ABI Research, commented, “In 2018, we have seen a large volume of initial edge intelligence deployments experience great success across a range of industries and use cases… Now, the task at hand is to efficiently deploy these projects at large scale. This latest release from FogHorn focused on going from pilot to broad commercial roll out is well timed with the state of the market’s needs.”

The release adds, “FogHorn was first the first company to bring the power of machine learning to IIoT. With 2.0, these capabilities have been augmented to support Predictive Model Mark Up Language (PMML), enabling any compliant machine learning model to be run at the edge. The Lightning platform offers “edgification” of machine learning models, off-loading data pre- and post-processing from the main ML model to the VEL® CEP engine for optimal performance in the smallest compute footprint.”

Read more at foghorn.io.

Photo credit: FogHorn

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