As teams ramp up their AI/ML capabilities, the biggest challenge they face is deploying their models intro production. Especially for machine learning engineers and data scientists, building a robust stack is critical for creating scalable and repeatable MLOps practices and processes.

In this webinar, join the teams at Pachyderm and Comet as we cover:
  • What MLOps entails, and the components of a robust stack
  • The challenges teams face when scaling their models intro production
  • The importance of monitoring both data and code for your models