End-to-End Learning

AI deployments are not static – they are always evolving and improving. End-to-end learning refers to when there are activities or tasks within a business process that still require human intervention, which are then observed by virtual engineers and used to create new automations.

Within Amelia AIOps, virtual engineers observe tasks completed by human engineers. From their observations, the virtual engineers develop new automations which they suggest to the human engineers for their approval. This process of end-to-end learning ensures that an enterprises’ operations are always improving, and AIOps’ capabilities are being utilized to their fullest extent.