As machine learning expands across industries 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, 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 machine learning efforts where we review three real world case studies that will answer key questions:

* When to start investing in MLOps?

* How to start investing in MLOps?

* How to measure the success of your MLOps strategy?

Instructor's Bio

Niko Laskaris

Head of Strategy, Comet

Niko is a experienced data scientist, a Yale grad and advocate for effective machine learning.


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    Lessons From the Field in Building Your MLOps Strategy

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