When 2 buzz-words meet, it generates an ambitious session.

Put artificial intelligence in an IoT project is an undeniable added value. And bringing artificial intelligence (understand the execution of a predictive algorithm) closer to usages is a major issue when developing an AI project in an IoT context. This session explores the issues to be overcome, starting from the principles of Edge Computing and the constraints it adds to AI. The session will deal with hardware concerns (GPU, TPU, etc.), Deep Learning and Data Science frameworks (TF, ONNX, quantization, etc.) and containerized architecture. It will focus espcially on Azure IoT Edge. This session will show some demos and give some feedbacks from an internal project: HappyFace.


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