Customer need: Customers and prospective customers need an AI platform that provides functionality to address their needs across the AI/ML lifecycle. When evaluating AI platform options, prospective customers evaluate OpenShift AI against competitors that offer solutions that address the complete AI/ML lifecycle. 

• Context: slide covering AI/ML lifecycle

• Success Criteria - deliver the following functionality:
  • Data Science Pipelines v2 - provide functional parity with all capabilities available in Kubeflow Pipelines v2 in a UI integrated into the RHOAI dashboard.
  • OOTB workbench images for VS Code and RStudio
  • Plugins for the following IDEs that integrate with RHOAI: VS Code
  • Distributed workloads GA
  • OOTB model monitoring for performance & ops metrics including GPU utilization
  • Model serving enhancements
    • Canary rollouts
    • A/B testing
    • Auto scaling 
    • Make KServe default model server
  • Model registry GA
  • Feature store tech preview
  • TBD: Model monitoring 
    • Data drift detection metrics and visualization
    • OOD metrics and visualization
  • TBD: Hyperparameter tuning