Building Your Futureproof Stack for MLOps

In this webinar, we see 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. 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