About this webinar
In this session that premiered at KubeCon NA we dive into the importance of MetaOps to robust and reliable ML deployment.
Organisations are developing their ML capabilities, but pursuit of time-to-value can come at the cost of complexity and bottlenecks. Collecting, tracking and managing metadata is increasingly important to satisfy overarching compliance and architectural requirements on lineage, auditability, accountability and reproducibility.
What you'll learn
- Challenges present in the metadata layer of large-scale systems
- Tooling, best practices and solutions to adopt for these challenges
- The rise of metadata management systems
- How to ensure long-term robustness of your platform