Posted on: Fri Nov 17 2023
Natural Language Processing for Risk Intelligence
DATE AND TIME
Thursday, November 23, 2023, 2:00 p.m. - 3:00 p.m.
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.
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.
In the Media: 香港經濟日報HKET
In this webinar, Dr. Chao He demonstrates the game-changing potential of artificial intelligence and natural language processing (NLP) in empowering financial institutions to proactively identify and mitigate risks, make informed decisions, and seize opportunities ahead of the curve.
This research examines sentiment contagion in social media, revealing its influence and providing valuable insights into how exposure content and individual heterogeneity impact the contagious spread of sentiments.