PyData Yerevan 2022

The structure and interpretation of ML metadata
08-13, 11:15–11:55 (Asia/Yerevan), 214W PAB

ML metadata connects different parts of the ML infrastructure together into a complete system. This talk is about - How and where the Metadata is generated. - How it's used in modern ML Infra stacks - How to use the metadata in building that enables reproducibility, explainability and governance over the models.

This talk is targeted both for ML researchers and engineers working on the ML infrastructure. The metadata generated at almost every step of the ML pipeline connects and enables the reproducible and explainable ML infrastructure. During this talk we will go through how and where metadata is generated in ML infrastructure. The types of the metadata. What's the next generation ML infra stack to leverage the metadata and help build reproducibility, explainability and governance into your ML systems ?

Prior Knowledge Expected

No previous knowledge expected

Co-creator of AimStack, co-founder at AimHub. Gev has been building AI infrastructure for the past 7 years.
Previously, 4th engineer at Altocloud (acqu. by Genesys).