Discuss the role of edge AI in MLOps and its challenges.
Instruction: Explain how edge AI is integrated into MLOps practices and the unique challenges it presents.
Context: This question challenges the candidate to discuss the implications of deploying ML models on edge devices, including operational and technical hurdles.
Updated
Official answer available
Read the opening below, then unlock the full answer and practical guidance.
Edge AI expands MLOps beyond centralized serving into device fleets with constrained resources, intermittent connectivity, and distributed update management...