Running machine learning models against event streams to make predictions in near-real-time has become standard practice, but many of the technologies used to move and manage them were either designed with different purposes in mind, like streaming analytics, or weren’t designed to handle hybrid and multi-cloud environments.

In this session, Rainer will demonstrate how an event mesh that spans on-premises and cloud environments can make life easier for both the folks running and feeding these models, but for developers and model builders as well.