Sept. 22, 2022, 2:01 p.m. | /u/modzykirsten

Artificial Intelligence www.reddit.com

Data-centric AI doesn't just stop with cleaning and preparing data for model training - there are rich insights to be gleaned from production data. By analyzing, segmenting, and selectively relabeling your production inference data, you can generate datasets for future model retraining. This talk will show you how you can use human-in-the-loop oversight to generate high-quality, labeled datasets using Label Studio from your prediction data for future model retraining.

Tune in to the [Modzy Discord Server](https://discord.gg/QWx4MSQEce) today at 12:30 EDT!

artificial data data labeling labeling production talk versioning

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne