Post Syndicated from Annik Stahl original https://aws.amazon.com/blogs/architecture/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. Referring to itself 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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