Jian Pei
Duke University
Title: Data and AI Model Markets: From Data Sharing, Discovery, and Integration to Values and Ecosystems
Abstract: Data and AI model sharing is a long time bottleneck for AI and data economies. In this talk, I will argue that data and AI model discovery and integration are foundations for sharing. I will also revisit why sharing remains a big challenge and why many existing approaches like data warehouses, data lakes, federated databases, and federated learning are still far from enough to solve the problem. Then, I will advocate data and AI markets as a potential grand opportunity for data and AI model sharing at scale, particularly for inter-organization sharing. Using some of our recent studies I will demonstrate some exciting technical problems in data and AI model markets. I will also offer my humble views on the future directions on data and AI model markets.
Biography:
Jian Pei is Professor at Duke University. His research focuses on data science, data mining, database systems, information retrieval and applied machine learning. His expertise is on developing effective and efficient data analysis techniques for novel data intensive applications and transferring to products and business practice. He is recognized as a Fellow of the Royal Society of Canada (Canada's national academy), the Canadian Academy of Engineering, ACM, and IEEE. He received several prestigious awards, including the 2017 ACM SIGKDD Innovation Award, the 2015 ACM SIGKDD Service Award, and the 2014 IEEE ICDM Research Contributions Award. He was a former chair of ACM SIGKDD and a former EIC of IEEE TKDE.
Host: Dr. Jundong Li
Organizer: Dr. Cong Shen