top of page

CALL FOR PAPERS - CLOSED

Have something interesting to say about MLOps? We're waiting for your proposal! 

​

Suggested Topics:

​

  • KubeFlow standardization 

  • MLSpec

  • MLRun

  • AI use-cases in business applications

  • Machine learning deployment and operation challenges

  • Machine learning model training at scale

  • Machine learning pipeline automation

  • Serverless in machine learning

  • Model deployment and monitoring in production

  • Implementing AI in real-time and interactive applications

  • Model versioning and reproducibility

  • Data and feature vector access in production

  • Security challenges in production

  • Using GPUs to accelerate training and inferencing

  • MLFlow

  • Working in heterogeneous environments (multi-cloud, edge, on-premises)

  • Machine learning best practices

​

This CfP is now closed.

​

​

bottom of page