Bridge the gap between model creation and real-world application.

Master the MLOps Challenge: This track dives deep into building secure, automated pipelines for frictionless ML deployment. Discover how to continuously train your models and navigate new security challenges with expert insights.

MLOps

Learn from Industry Leaders about:

  • Model deployment and management: Master the skills to effectively deploy and manage your machine learning models.
  • Scalable model serving: Explore technologies like KServe and Kubernetes for scalable model deployment.
  • Ensuring data quality in MLOps: Discover strategies to maintain data quality throughout the Data Pipeline Integration
  • Building and optimizing MLOps pipelines: Design and optimize end-to-end MLOps pipelines for faster model delivery and sustained performance

Track Speakers Munich

Track Speakers New York

Track Speakers Berlin

MLOps Track Program 2024

Track Program New York 2024

We are currently working on this part of the program. Check back soon and have a look at the rest of the current MLCON Munich 2023 program here.

Track Sessions ML Con Munich 2024

Track Sessions ML Con Munich 2024

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Track Sessions MlCon New York 2024

Track Sessions MlCon New York 2024

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Track Sessions ML Con Berlin 2023

Track Sessions ML Con Berlin 2023

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Behind the Tracks