Managing Data Retention with TTL Policies
Weights & Biases Weights & Biases
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 Published On Jan 19, 2024

Data retention and responsible data management is a critical element of any ML workflow.

Check out W&B's new TTL (time-to-live) policies to take full control of how your organization works with Artifacts and datasets.

Link to docs: https://docs.wandb.ai/guides/artifact...

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⏳Timestamps:
0:00 Introduction to TTL (Time to Live)
1:02 Use cases for TTL.
2:11 Setting default TTL policies at the team level
3:05 Emphasis on the careful considerations required
4:06 Demonstration of TTL settings in an actual project
5:28 Walkthrough of modifying TTL for a specific artifact.
6:46 Reminder that the TTL management process shown can be applied to various artifacts based on the team's specific use case and needs.

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