The company's IIoT platform delivers a game-changing combination of Machine Learning and Advanced Analytics at the Edge
SANTA CLARA, California, Oct. 4, 2017 /PRNewswire/ -- Based on its recent analysis of the North American market for manufacturing, Frost & Sullivan recognizes FogHorn Systems with the 2017 North America Edge Intelligence-Analytics Product Leadership Award for its edge intelligence technology. FogHorn Systems provides a highly efficient, processor-agnostic software platform that enables real-time machine learning and on-site processing and analytics of sensor data from industrial machines and manufacturing operations.
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The manufacturing industry is highly competitive and is undergoing significant changes. In many ways this is due to the advent of the Industrial Internet of Things (IIoT). Advancing technologies continue to improve the gathering and analysis of data across machines, enabling faster and more efficient processes. In turn, these processes increase manufacturing productivity, shift economies, and foster industrial growth, thereby changing the competitive landscape among companies. Edge analytics, which is essentially decentralized automated data analytics, has been gaining traction among manufacturers embracing data-driven decision-making. The increase in demand to analyze voluminous data streams and the increase in the number of applications to monitor and use this collected data have cemented the need for adopting edge analytics technology. The challenge for companies in deriving real business value from data is in their ability to find the right tools to quickly capture and organize a wide variety of data types from different sources and to analyze this data easily within the context of all their enterprise data.
"Edge intelligence significantly reduces latency and bandwidth consumption because huge amounts of data no longer have to be sent to a distant centralized cloud for processing. This allows for maximum performance, faster response times, and more effective maintenance and operational strategies," said Frost & Sullivan Research Analyst Anisha Dumbre. "With better analysis of large volumes of data, the potential exists for making faster advances in many industrial disciplines while improving the profitability and success of many enterprises."
The FogHorn Systems Lightning edge analytics platform allows industrial customers to use real-time stream processing by hosting high-performance edge processing, machine learning, optimized analytics, and heterogeneous applications as close as possible to the control systems and physical sensor infrastructure within their enterprise.
FogHorn's solution delivers a number of benefits that highlight the Lightning platform's usability and flexibility, including:
- Support for major industrial data ingestion protocols, such as Modbus, MQTT,, OPC/UA, and various other data transfer protocols
- Ability to run in low-footprint environments, such as PLCs, and ruggedized gateways.
- Scalability and applicability across industry verticals, such as manufacturing, oil and gas, power and water, renewable energy, healthcare, smart buildings, and smart cities
- An extensive partner ecosystem that includes leading industry participants such as
General Electric (GE), Yokogawa, Microsoft, SAP, Dell, and Hewlett Packard Enterprise (HPE)
"FogHorn successfully develops innovative technological features in large part due to the diversity of its team members who bring expertise in areas like artificial intelligence, stream and batch data services, distributed computing, large-scale system design, security, and user interface design," said Dumbre. "This diversity has allowed the company to create a platform that integrates ease of use, connectivity, scalability, and flexibility. As such, it greatly simplifies the process of creating connected experiences and solutions, enabling a brand new generation of IIoT applications."
FogHorn forges interoperability between disparate data, devices, and technology by embedding built-in edge intelligence directly into small-footprint edge devices. FogHorn's solution allows manufacturers to completely leverage the technology to transform real-time machine data into actionable insights to reduce costs, thereby improving production efficiency and reducing unplanned downtime. For these reasons, FogHorn Systems has earned Frost & Sullivan's 2017 North American Edge-analytics Intelligence Product Leadership Award.
Each year, Frost & Sullivan presents this award to the company that has developed a product with innovative features and functionality that is gaining rapid market acceptance. The award recognizes the quality of the solution and the customer value enhancements it enables.
Frost & Sullivan Best Practices awards recognize companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analysis, and extensive secondary research to identify best practices in the industry.
About FogHorn Systems
FogHorn is a leading developer of "edge intelligence" software for industrial and commercial IoT application solutions. FogHorn's Lightning 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, oil and gas, power and water, transportation, renewable energy, mining and agriculture, as well as Smart Building, Smart City and connected vehicle applications.
Caitlin Haskins, 10Fold
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SOURCE Frost & Sullivan