FogHorn Releases Lightning Edge Intelligence 2.0 for Fast-scaling IIoT Deployments
October 09, 2018
Edgified machine learning, new automation and scalability tools, and powerful new user interface headline Lightning 2.0 as FogHorn extends its proven leadership in innovation for edge computing.
FogHorn released its Lightning 2.0 software with additions establishing 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 tools.
The portfolio adds an innovative element to industrial IoT (IIoT) by embedding edge intelligence in the closest proximity to the streaming sensor data as possible.
FogHorn’s platform is a feature-rich edge intelligence solution that provides exceptional low latency for onsite data processing and real-time analytics in addition to its ML and AI capabilities.
“In 2018, we have seen a large volume of initial edge intelligence deployments experience great success across a range of industries and use cases,” Pierce Owen, principal analyst at ABI Research stated. “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 Lightning 2.0 release will expand the company’s leadership in many critical edge computing dimensions, including Advancements in Edge-based Machine Learning, Improved Automation and Scalability and Enhanced Operator User Experience.