by Angela Guess

According to a recent press release, “FogHorn Systems today announced the availability of Lightning ML, the newest version of its Lightning™ edge intelligence software platform for the Industrial Internet of Things (IIoT). Lightning ML is now the industry’s first IIoT software platform with integrated machine learning capabilities and universal compatibility across all major IIoT edge systems. Accenture predicts that IIoT can add $14.2 trillion to the global economy by 2030. However, industrial environments present a challenge to status quo methods for data collection and analysis. ‘The money and time required to move massive amounts of machine data to the cloud for analysis, only to send the results back to the edge, often makes little sense,’ said Mike Guilfoyle, Director of Research and Senior Analyst at ARC Advisory Group. ‘In many instances cloud computing won’t be practical, necessary, or desirable. The reality is that edge intelligence is critical to a successful overall analytics strategy’.”

FogHorn CEO David C. King commented, “FogHorn is accelerating the pace of innovation in edge computing by not just democratizing analytics but by making machine learning accessible to industrial operators… The addition of FogHorn Lightning ML is a monumental leap forward in delivering on the promise of actionable insights for our IIoT customers. In the initial launch of FogHorn’s Lightning platform, we successfully miniaturized 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.”

Read more at Marketwired.

Photo credit: FogHorn Systems