TWIMLcon 2022


Codifying, Standardizing, and Serving Production-Ready ML Models with Open-Source Tool MLEM


Open-source Iterative tool MLEM helps machine learning teams to store, access, package and deploy models in a variety of different scenarios. This session will walk the audience through a simple tutorial and discuss various use cases where automating and standardizing models can help machine learning teams get to market faster.

Attend this session to learn:

  • How to automate the codification and productization of ML models
  • How to use MLEM across your existing MLOps tech stack for all scenarios
  • Where a model registry fits into your workflows

Session Speakers

MLEM Project Team Lead

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