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Fog Computing Platforms

Clean the Sky - Positive Eco Trends & Breakthroughs

FogHorn's Software Program Allows Configurable Data Analytics Expression

— August 25, 2016 — Tech
FogHorn Gateway Edition is an innovative new fog computing software program that is designed to augment and supplement Internet of Things applications in industrial environments. The program makes it possible for organizations dealing with heavy amounts of data to reduce their reliance on cloud data centers and Internet-based communication by setting up a system that allows a multitude of devices and connect with one another.

This particular fog computing system is specifically designed for "medium to large scale environments" where there is a multitude of industrial devices, and allows for configurable data processing and expression. The system allows users to take advantage of the latest and greatest edge computing and machine learning models.

FogHorn Gateway Edition is an excellent option for organizations in a wide array of fields looking to use intelligent software to optimize their operations and analysis.
Trend Themes
1. Fog Computing - Disruptive innovation opportunity: Develop more efficient fog computing platforms tailored to different industries.
2. Edge Computing - Disruptive innovation opportunity: Create edge computing solutions that can process and analyze data in real-time at the device level.
3. Machine Learning - Disruptive innovation opportunity: Explore the integration of machine learning models into fog computing systems for enhanced data analytics.
Industry Implications
1. Industrial Automation - Disruptive innovation opportunity: Introduce fog computing solutions specifically designed for streamlining industrial automation processes.
2. Smart Manufacturing - Disruptive innovation opportunity: Develop fog computing platforms that enable real-time monitoring and optimization of manufacturing operations.
3. Energy Management - Disruptive innovation opportunity: Utilize fog computing technology to enhance energy management systems through intelligent data analysis and optimization.
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