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#MLOpsSF20
This is not another data science conference about algorithms. The MLOps SF conference focuses on managing and automating machine learning pipelines, to bring data science into real business applications. The conference will go beyond theory, with industry leaders sharing painful machine learning experiences which involve running experiments at scale, versioning, delivery to production, reproducibility and data access.

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KUBEFLOW AND OPEN SOURCE

MLOPS
AUTOMATION

ONLINE & OFFLINE FEATURE STORES

PERFORMANCE AND SCALE

EXPERIMENT & DATA TRACKING
LAST YEAR'S SPEAKERS







WATCH THE TALKS FROM LAST YEAR
Solving the Complexity of Moving Data Science to Production — MLOps NYC19 Conference Panel

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Solving the Complexity of Moving Data Science to Production — MLOps NYC19 Conference Panel
45:41
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Best Practices for Multiplatform MLOps with Kubeflow and MLflow — MLOps NYC19 Conference Panel
46:23
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Serverless for ML Pipelines from A to Z | Orit Nissan-Messing, Iguazio
24:19
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A BIG THANKS TO OUR 2019 SPONSORS








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