There's a lot of excitement around understanding how to put machine learning to work on real use-cases. Data-Centric AI embodies a particular point of view around how this progress can happen: by focusing on making it easier for practitioners to understand, program and iterate on datasets, instead of spending time on models.
- Anna Rogers' work highlights how data curation is an ongoing, inevitable process, and can provide significant leverage for ML.