Data-Centric AI is the process of building and testing AI systems by focusing on data-centric operations (i.e. cleaning, cleansing, pre-processing, balancing, augmentation) rather than model-centric operations (i.e. hyper-parameters selection, architectural changes).

Learn how to put data-centric AI into practice in the real world. Hear from some of the top practitioners in the world today along with some of the most advanced platforms. Explore talks from the leaders of massive data sets used to train some of the largest foundational models on the planet.