CSE Colloquium: The Database Management System in the AI Era


We live in an era where Al techniques (especially transformers) have made significant progress in being able to process, recognize, and match complex multimodal data text, images, timeseries. Many applications (e.g., in medicine, the Web, or the Internet of Things) still have an important need to manage structured records, but now have an ability to take advantage of Al techniques for such data modalities. In this modern era, what does a database management system need to do, and what do queries and data look like? I will describe our continuing work in exploring this frontier, and in building machine learning-integrated data management systems.


Zachary Ives is the Department Chair and Adani President's Distinguished Professor of Computer and Information Science at the University of Pennsylvania. Zack's research interests include data integration, provenance and trustworthiness, and machine learning systems. He is a co-author of the textbook Principles of Dato Integration. He is an ACM Fellow, a recipient of the NSF CAREER award, and an alumnus of the DARPA Computer Science Study Panel and Information Science and Technology advisory panel.

He has also been awarded the Christian R. and Mary F. Lindback Foundation Award for Distinguished Teaching and an IEEE Technical Committee on Data Engineering Education Award. Zack has served as the Program Co-Chair and the General Chair for the ACM SIGMOD conference.


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Media Contact: Timothy Zhu