Lessons From the Field in Building Your MLOps Strategy

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Presented by

Nikolas Laskaris, Head of Strategy at Comet

About this talk

As machine learning expands and larger organizations begin deploying across bigger teams, the need to efficiently operationalize becomes critical for enterprises. In our discussions with leading organizations utilizing ML like The RealReal and Uber, we have compiled real-world case studies and organizational best practices for MLOps in the enterprise. Join us for a discussion where we'll explore the benefits of MLOps and discuss when and how to deploy MLOps in your ML. We'll review three real world case studies that will answer key questions: -When to start implementing in MLOps? -How to start implementing in MLOps? -How to measure the value of your MLOps strategy?

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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 www.comet.com