Edge AI Model Lifecycle Management: Versioning, Monitoring, And Retraining
AiTHORITY, Friday, June 27th, 2025
As artificial intelligence continues to push closer to the edge of the network, Edge AI has emerged as a transformative paradigm across industries.
From smart cameras and industrial sensors to autonomous vehicles and wearable health devices, Edge AI enables real-time, low-latency decision-making directly on local devices-without relying on cloud connectivity. But deploying models to edge devices is only the beginning. The true challenge lies in managing the full lifecycle of Edge AI models: versioning, monitoring, and retraining.