Continuous improvement for IoT through AI / Continuous learning

In this post, we discuss how we could implement Continuous improvement and Continuous learning in IoT systems. Continuous improvement is a well-known concept (ex from Kaizen or Six Sigma). For IoT, we propose that to implement continuous improvement, we have to implement continuous learning. Specifically, this means we train a model in one environment and deploy it to multiple points in the IoT ecosystem (Device level, work flow level and system level). Models could be built and deployed across devices to capture learning at various points. This learning is then consolidated through a central model.