Big news – FogHorn has a new visual programming studio and dashboard reporting enabling OT professionals to gather actionable insights from real-time, streaming data.
The company, known for edge computing software for commercial and industrial IoT said the new Lightning Edge AI platform has 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.
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.
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:
- Closed-Loop ML: Closed-loop machine learning from edge to cloud in order to maintain the health of deployed models. Now supported on Azure, along with Google Cloud Platform.
- EDA: An exploratory data analysis tool to help teams determine the value of data before investing in analytics and machine learning initiatives.
- Addition of new, out-of-the-box, ingestion agents such as OPC-DA.
The major benefit of this news is speed and agility. Reducing reliance on dedicated developers is helpful for organizations looking to maximize digital transformation through the future of work. One of the definitions of FoW, in fact, is allowing the best of AI and humans to work together to maximize productivity.
Speaking of speed – our colleague Ken Briodagh recently broke the news about how FogHorn was working with Porsche to enhance vehicle security and experience.
For this reason – we think this latest FogHorn release is great news for industrial applications and organizations that rely on the IoT and IIoT.