The Data-Centric AI (IAAI-22 Robert S. Engelmore Memorial Lecture Award)


Andrew Ng (DeepLearning AI, Landing AI, and Coursera)

Red Plenary Room, Blue Plenary Room
Abstract: Data-Centric AI (DCAI) represents the recent transition from focusing on modeling to the underlying data used to train and evaluate models. Increasingly, common model architectures have begun to dominate a wide range of tasks, and predictable scaling rules have emerged. While building and using datasets has been critical to these successes, the endeavor is often artisanal — painstaking and expensive. The community lacks high productivity and efficient open data engineering tools to make building, maintaining, and evaluating datasets easier, cheaper, and more repeatable. In the presentation, Dr. Ng will talk about what DCAI is, the challenges, and tips for using the DCAI approach.
Andrew Ng is Founder of DeepLearning.AI, Founder and CEO of Landing AI, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University.

As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, authoring or co-authoring over 200 research papers in machine learning, robotics, and related fields. Previously, he was chief scientist at Baidu, the founding lead of the Google Brain team, and the co-founder of Coursera – the world’s largest MOOC platform. Dr. Ng now focuses his time primarily on his entrepreneurial ventures, looking for the best ways to accelerate responsible AI practices in the larger global economy. Follow Dr.Ng on Twitter (@AndrewYNg) and LinkedIn.