Cloud Security & MLOps

You’ve been hearing a lot about security best practices, but you’re not convinced they can really make a difference? Do you think your resources are safe only because nobody would notice your random IP address? If so – join my session! I’ll show you real-life attack scenarios to convince you that misconfigurations can have dire consequences.

In this talk we share our experiences of the MLOps platform we build for our customers and how they boost the way data scientists work. We show how their projects of ML models training can go from zero to production in much shorter time, while achieving superior performance, high code quality, training repeatability and governance. Also interesting from the deployment perspective, the platform mixes best-of-breed cloud managed services with a small number of powerful open-source components (e.g. Kedro, MLflow, Seldon) to get extra functionality that data scientists and their ML models need. It should be interesting to anyone from data scientists to platform builders or architects.