AI for the Future of Commerce: Challenges and Opportunities

Speaker:        Dr. Min Wang
                Senior Vice President, Head of Visa Research
                Visa Inc.

Title:          "AI for the Future of Commerce: Challenges and
                 Opportunities"

Date:           Tuesday, 9 January 2018

Time:           11:00am - 12 noon

Venue:          Lecture Theater G (near lift 25/26), HKUST

Abstract:

Visa's unique position as the world's largest payment network enables us
to serve billions of consumers and tens of millions of merchants on a
daily basis. These massive high-quality financial data provide valuable
insights on how people conduct commerce around the world, and AI
technology has the potential to unlock the hidden value in these data and
drive innovations in the payments industry. In this talk, I will give an
overview of the research opportunities and challenges for data analytics
and machine learning in the context of payments data, and share our point
of view on how AI can reshape the Future of Payments by delivering unique
capabilities in scenarios such as fraud detection, authentication, and
recommendation systems. I will also give a high-level introduction on our
research work blockchain.


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Biography:

Dr. Min Wang joined Visa as the Senior Vice President and Head of Visa
Research in May 2015. In her role, she founded and now leads Visa
Research, an organization that conducts applied research on the most
challenging problems in Payments and provides technical thought leadership
for the future of the industry. Visa Research is focusing on three
research areas: Data Analytics, Security, and Future of Commerce.

Prior to Visa, Min was a Senior Staff Research Scientist and Research
Manager at Google, Director of HP Labs China where she was named a
Distinguished Technologist, and held senior research roles at IBM's Thomas
J. Watson Research Center. Min has published over 90 research papers in
top peer-reviewed conferences and journals and received several
distinguished research awards for her work on data management. In 2009,
she received the ACM SIGMOD Test of Time Award. She has been serving as a
board member of the Computing Research Association (CRA) since 2016.

Min received her Ph.D. in Computer Science from Duke University and B.S.
and M.S. degrees with top honors, both in Computer Science, from Tsinghua
University, Beijing, China.