Building Your Futureproof Stack for MLOps

Presented by

Harpreet Sahota, Data Scientist

About this talk

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 they 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

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Comet provides a self-hosted and cloud-based MLOps solution that enables data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams. Learn more at