, Founder, Founder and CEO, DeepLearning.AI, Landing AI
, Vice President, Applied Deep Learning Research, NVIDIA
Highly Rated
Data-centric AI is a growing movement that shifts the engineering focus in AI systems from the model to the data. However, data-centric AI faces many open challenges, including measuring data quality, data iteration, and engineering data as part of the machine learning project workflow, data management tools, crowdsourcing, data augmentation and synthesis, as well as responsible AI. We'll explain the key pillars of data-centric AI, identify the trends in data-centric AI movement, and set a vision for taking ideas applied intuitively by a handful of experts and synthesizing them into tools that make the application systematic for all. Bryan Catanzaro will host a Q&A discussion with Andrew Ng at the end of this session.