Machine Learning Operations describes the collection of tools and procedures from (machine learning) model generation to deployment. MLOps aims to deliver reliable machine learning models to production environments. The procedures originate from DevOps (general software deployment procedures) and ensure that only well tested and developed learning models can be transferred to production. This ensures a high quality level and strict release procedures that involve automation concepts, guarantee auditability and minimize the risk of failures.
The success stories of our customers show how the strategic decision for a Factory Data Hub brings future-proof scalability.