Lessons From the Field in Building Your MLOps Strategy with Harpreet Sahota, Data Scientist at Comet

On Demand
Presented by:
Comet

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.

Featured Speaker: Harpreet Sahota, Data Scientist at Comet and host of “The Artists of Data Science” Podcast

 

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 MLOps?
  • How to start implementing MLOps?
  • How to measure the value of your MLOps strategy?

 

Agenda:

  • 12:00pm-12:30: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

Featured Presenters

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