MLOps
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 New York 2024
San Diego's program will go live soon! Until then, please take a look atNew York's 2024 Program!
Track Speakers Munich
Track Speakers New York
Track Speakers Berlin
MLOps Track Program 2024
Track Program Berlin 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 Highlights New York 2024
Join ML Conference and stay tuned!
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