本院活動

23.05.2019

[BizInsight@HKUST - Lunch Presentation Series] How AI and Deep Learning are Fuelling the Financial Industry

AI, deep learning and machine learning are rapidly changing the financial services industry, and it is important for us to discover how we can tap this capability and potential. HKUST Business School joins hands with industry experts and practitioners to organize a lunch seminar to unveil the latest FinTech trends, insights and applications.

The Era of AI – How AI is transforming the financial ecosystem
AI, deep learning and machine learning are rapidly changing the financial services industry. Business leaders, data scientists, and developers can now transform vast amounts of financial data into insightful predictions creating significant bottom-line savings.

Overcoming the challenges of Software 2.0 for Artificial Intelligence in FSI
The opportunities presented by AI are tremendous, but so are the challenges. Written in the weights of the deep neural networks, software 2.0 is trained using vast amounts of labelled data. Data, hence is the new source code, compiled by deep neural networks into weights.

Managing Data though, at the edge, in the core, on the cloud creates challenges that most firms fail to address. The ability to create a virtuous cycle of this crucial asset will therefore differentiate the firms that will survive the current AI revolution, from those that don’t. This presentation will outline the AI revolution in the FSI industry using case studies on how NetApp’s “Data Fabric” empowers customers to innovate using AI at the edge, in the core and on the cloud.

Mr Julius CHAN

Mr Benjamin HUI

Enrollment

Please fill in the enrollment form.  A notification email and payment information will be sent to your email account shortly.

Enquiries

For questions, please contact Mr Ray Lee on (852) 2358 8934 or insights@ust.hk.

Arrangement of event in case of Bad weather

All programs would be suspended once the Rainstorm Black Warning or Typhoon Signal No.8 (or above) is hoisted, or there is information that the Warning or Signal would be hoisted within 1 to 2 hours before the event starts. Notification on reschedule or refund arrangement would be announced in due course.