Alessandro Grande of Edge Impulse addresses challenges in deploying machine learning on edge devices. Key hurdles include data strategy, AI expertise, and cross-team communication. Grande emphasizes lean models, efficient sensor data use, and the transformative potential of on-device AI for personalized health and industrial maintenance.
Alessandro Grande of Edge Impulse addresses challenges in deploying machine learning on edge devices. Key hurdles include data strategy, AI expertise, and cross-team communication. Grande emphasizes lean models, efficient sensor data use, and the transformative potential of on-device AI for personalized health and industrial maintenance.