Speaker: AnHai Doan, University of Wisconsin
Location: DC 1304
Abstract: Data powers the modern world. Consequently, there is a critical need to integrate data, so that it can be used to fuel a wide variety of applications. Yet data integration R&D, in both academia and industry, has fallen short in addressing this need. In this talk I discuss why, drawing from my experience in the past four years in industry, when I worked as a VP of Technology at Informatica, leading a team that applied machine learning and database techniques to build data integration solutions. I propose what we can do as a field going forward, and discuss the potential impacts of the latest trend, large language models, on the field.
Bio: AnHai Doan is Vilas Distinguished Achievement Professor and Gurindar S. Sohi Professor of Computer Science at the University of Wisconsin-Madison. He has worked on data integration challenges for more than 20 years, in both academia and industry. His work has been recognized by the ACM Doctoral Dissertation Award, CAREER Award, Sloan Fellowship, ACM Research Highlight, and others, and has been commercialized via several startups, impacting millions of users and thousands of enterprises. AnHai has served on the SIGMOD Advisory Committee, SIGMOD Executive Committee, and co-chaired SIGMOD-2020.
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