~/talk

ML Artifacts Ownership Enforcement

Talkat OpML '20 · 2020-07-28..08-07· [machine-learning, platform-engineering]
slides:none on file

Centralized inventory enforces ownership for every ML artifact by registering models, features, pipelines and code in an entity framework backed by a graph database inventory that records DAGs and owner attributes. A one-time backfill populates missing owners across legacy platforms and thousands of features, then validators block creation of new artifacts without ownership and an ownership observer updates owners automatically to managers when people leave, which reroutes alerts correctly, enables privacy review, generates metrics and saves on-call triage time.

AI-written summary · about

  1. 0:00Intro
  2. 1:42Story
  3. 5:22Problems
  4. 6:49Solution Workflow
  5. 8:53Solution Architecture
  6. 13:42Demo
  7. 15:21Future Work
  8. 17:11Conclusion
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