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SUNNYVALE, Calif., Oct. 22, 2019 (GLOBE NEWSWIRE) -- FogHorn, a leading developer of edge computing software for commercial and industrial Internet of Things (IoT) solutions, today announced the availability of new Lightning™ Edge AI platform features, including tools and enhancements to empower operations technology (OT) professionals. The new drag-and-drop analytic programming capabilities and rich visualization dashboards enable OT staff to derive insights more quickly from real-time data without the need for assistance from data science teams.
Industry analysts recognize FogHorn Lightning Edge AI as a leader in IoT-AI platforms for industrial markets. The Lightning edge computing platform brings intelligence to the edge, at or near the point where data originates, and facilitates analysis with the lowest latencies to improve operational outcomes. Artificial intelligence (AI) is enabled through built-in closed-loop edge-to-cloud machine learning, where FogHorn Lightning can detect drifts in model accuracies and automatically trigger cloud-based retraining with Google Cloud Platform (GCP) and now, Microsoft Azure IoT, and republish new models to the edge in an iterative fashion until the expected accuracy is reached.
This latest release of Lightning Edge AI makes meaningful improvements for the productivity of OT teams, including:
Redesigned VEL® Studio for No-Code Analytic Creation
A visual programming tool, VEL Studio, creates simple to sophisticated analytic expressions that derive actionable insights from streaming control & sensor data. A newly introduced drag-and-drop library of over 100 built-in code blocks lets OT professionals perform traditional data science tasks without the need for any programming skills. This new functionality allows users to simply drag blocks to the workspace, fill in required parameters and connect the code blocks. These code blocks perform analytic functions, including; data cleansing and filtering, data collection and type conversion, event/pattern detection, signal processing and mathematical and statistical analysis. FogHorn also released OT-centric blocks for manufacturing-specific use cases to make it even easier to create advanced analytics including anomaly and failure condition detection.
Enhanced Reporting with VIZ Dashboards
VIZ Dashboards allows OT teams to visualize real-time data streams and monitor the efficiency and health of their environments. Dashboards are a user-defined canvas of widgets that visualize results of analytic expressions, display output of machine learning algorithms, validate sensors, and troubleshoot diagnostics of input sources. Based on how the user needs to employ each dashboard, widgets can be drawn to any size and include data visualizations, such as line graphs, bar charts, gauges, last state cards, maps, video feeds, images, and containers for nested dashboards.
"Lightning Edge AI was designed with OT professionals in mind as a bridge between subject matter experts and deriving actionable insights from real-time data," said Sastry Malladi, CTO at FogHorn. "The simplicity of the new VEL Studio and code blocks empower OT teams to gain meaningful business insights with easy-to-use data science capabilities without the need to code or be an analytics expert."
Additional features of note:
FogHorn Lightning Edge AI was named as a top IoT-AI solution by both ABI Research1 and Frost & Sullivan2 in their latest research reports based on the company's traction with large, Fortune 500 customers and the innovations in the product.
1ABI Research, "Industrial AI Platform and Service Provider Competitive Assessment"
2Frost & Sullivan, "Frost Radar: Global Emerging Industrial IoT-AI Platform Market"
FogHorn is a leading developer of edge computing software for industrial and commercial IoT application solutions. FogHorn’s software platform brings the power of advanced analytics and machine learning to the on-premises edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as smart grid, smart city, smart building and connected vehicle applications.
FogHorn and Lightning are trademarks of FogHorn Systems. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/70f54fe9-21a9-4607-a06a-edc2bc75486b