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Panel: Enterprise-grade, On-prem Kubeflow in the Financial Sector

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Enterprise Kubeflow on-prem details: deployments use Arrikto-style local-disk provisioning with dynamic local PV snapshots exported to object storage for portability, cutting a TF pipeline from 26→12 steps in six months and eliminating Kubernetes expertise for data scientists; pipeline UI and notebooks dominate usage, Feast and KFServing are upcoming; teams report 40% less non-ML code due to pipeline automation but hit real blockers: air-gapped install hurdles (internal Docker repo layout, proxy, admin rights, “virtual on virtual”) and storage/versioning needs; ~75 survey respondents influenced 0.7→1.0 priorities.

AI-written summary · about

  1. 0:00Introduction
  2. 0:36Kubeflow Summit
  3. 6:10Why Kubeflow
  4. 6:55FinTech contributions
  5. 8:08Implementing Kubeflow
  6. 9:37Why erecto
  7. 12:31JPMorgan Chase
  8. 19:41US Bank
  9. 25:09Google
  10. 26:11Community Surveys
  11. 28:16Who is using Kubeflow
  12. 30:40Kubeflow components
  13. 32:03Kubeflow usage
  14. 34:07Key adoption blockers
  15. 35:49Outro
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