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.