Argus, the MLOps platform for building secure and scalable data products in a regulated environment

This talk covers how making the right architectural and technical decisions, putting users at the core, and understanding business value led to the fast delivery of a successful data and engineering platform.

Transitioning to platform thinking and modern engineering practices is no small feat, especially within the constraints of a large and traditional enterprise.

In this talk, we’ll showcase Argus, our internal developer / AI platform that simplifies the production of data and apps for data scientists and engineers at BASF. We’ll dive into the GitOps-based provisioning workflow, simplifying the MLOps lifecycle by centering around data products like the architectural quantum.

Furthermore, we’ll detail the approach to cloud-native security, which guarantees the safeguards required in a highly regulated environment while reducing friction and effort for developers.