AWS Architecture Blog

FogHorn: Edge-to-Edge Communication and Deep Learning

FogHorn is an intelligent Internet of Things ( IoT) edge solution that delivers data processing and real-time inference where data is created. As “the only ‘real’ edge intelligence solution in the market today,” FogHorn is powered by a hyper-efficient Complex Event Processor (CEP) and delivers comprehensive data enrichment and real-time analytics on high volumes, varieties, and velocities of streaming sensor data, and is optimized for constrained compute footprints and limited connectivity.

Andrea Sabet, AWS Solutions Architect speaks with Ramya Ravichandar, Vice President of Products at Foghorn to talk about how FogHorn integrates with IoT MQTT for edge-to-edge communication as well as Amazon SageMaker for deep learning model deployment. The edgefication process involves running inference with real-time streaming data against a trained deep learning model. Drifts in the model accuracy trigger a callback to SageMaker for retraining.

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Annik Stahl

Annik Stahl

Annik Stahl is a Senior Program Manager in AWS, specializing in blog and magazine content. Having been the face of Microsoft Office for 10 years as the Crabby Office Lady columnist, she loves getting to know her customers and wants to hear from you.