Posted on: Fri Nov 17 2023
TOPIC
Natural Language Processing for Risk Intelligence
DATE AND TIME
Thursday, November 23, 2023, 2:00 p.m. - 3:00 p.m.
ABSTRACT
The market is uncertain. Risks are multiplying. How can financial institutions better make decisions? The overwhelming amount of information available is hard to process and interpret. Manual handling of unstructured data is time-consuming and costly. Traditional rule-based subjective decision-making no longer works effectively. This webinar explains how we can leverage artificial intelligence, particularly natural language processing to empower financial institutions to proactively identify and mitigate risks, make informed decisions, and seize opportunities ahead of the curve.
SPEAKER BIOGRAPHY
Dr. Chao HE is the Founder of AIVI Financial Technologies and an Adjunct Associate Professor at the HKUST Business School. He holds a Ph.D. in artificial intelligence from BIT and an EMBA from Kellogg-HKUST. He has more than 20 years of experience in AI technology innovation, application, and commercialization. Previously, he served as Head of AI, Vice President at Wisers, and Lead Researcher at NCR. He holds 40+ international patents and has published 20+ research papers in top international journals and conferences. He is a Senior Member of the IEEE and a Charter Member of AAMA-PRD.
ABOUT THE WEBINAR SERIES
This is part 2 of a 5-part webinar series featuring leading academic and industry experts in risk management, artificial intelligence, information systems, big data analytics, machine learning, and large-scale data processing. Students interested in the CBSA-Wisers Analytics Challenge @HKUST 2021/22 are highly encouraged to attend the webinars.
On Sunday, December 1, the HKUST Center for Business and Social Analytics (CBSA), in collaboration with the Investor and Financial Education Council (IFEC) and Cyberport Hong Kong, successfully hosted a Web3 workshop at The Arcade, Cyberport.
CBSA in the Media: 香港經濟日報HKET
Dr. Jensen Huang, CEO of NVIDIA, visited HKUST to receive an Honorary Doctorate and discuss the future of AI with Prof. Yi Yang and fellow researchers, highlighting advancements in generative AI.