Author: Chris Lusk • November 7, 2022
In last part of our webinar series, we chart how the proliferation of large-scale deep learning models led to the current data-centric AI paradigm, and will provide you with a set of principles and strategies to ensure that your team(s) maintain high quality data throughout the entire AI product lifecycle.
Part 1: Get Out of The Notebook And Into Production
Part 2: Creating AI-First Products With Your Existing Product Teams