This is about getting your team setup to view and use your AI/ML data. This includes annotations done by humans, model predictions, set level data, insights and more.
- Query languages. Domain Specific Query languages are becoming more popular for training data. And/or being able to understand raw SQL structure well enough to query directly.
- Using training data specific libraries for specific goals like data discovery, filtering, etc.
- Even if there are Workflows setup, the need for data catalog type steps remain.
- Access data at the set level.
Updated about 1 year ago