Data-Centric AI - Marysia Winkels

We talked about:

• Marysia’s background


• What data-centric AI is


• Data-centric Kaggle competitions


• The mindset shift to data-centric AI


• Data-centric does not mean you should not iterate on models


• How to implement the data-centric approach


• Focusing on the data vs focusing on the model


• Resources to help implement the data-centric approach


• Data-centric AI vs standard data cleaning


• Making sure your data is representative


• Knowing when your data is good enough


• The importance of user feedback


• “Shadow Mode” deployment


• What to do …

ai data data data-centric data cleaning deployment feedback good importance incomplete data iterate kaggle making mean mindset resources role shadow shift standard user feedback