Leveraging alternative data to access high-quality credit inform
This briefing is bringing together senior risk and technology professionals to discuss how to leverage alternative data to enhance risk modelling capabilities, access high-quality credit information and provide insights for informed business decisions.
11:00 – 11:30
11:30 – 11:50
Risk modeling and decisioning
- Key industry challenges
- The next normal for credit decision making
- Enrich and connect available data for smarter decisions
- AI decisioning framework to power risk and fraud modernisation
11:50 – 12:30
Leveraging alternative data to access high-quality credit information and drive growth
- Utilisation of the Commercial Data Interchange (CDI) to access alternative data safely and credibly
- What is the current landscape of credit rating and alternative data in Hong Kong
- The value of alternative data for banks
- How banks can utilise alternative data to enhance credit modelling
- AI and data analytics modelling engines that can support the digital transformation of banks
Chief operating officer
GS1 Hong Kong
Dr. Lam joined GS1 Hong Kong in 2016 and serves as the Chief Operating Officer overseeing solutions development and deployment, consultancy services and business development, facilitating corporate members’ adoption of GS1 global standards and technologies, to empower business to grow and to improve efficiency, safety, authenticity and sustainability, through Go Digital and Go Smart.
Before joining GS1 Hong Kong, Stephen had spent more than 20 years in IT industry, had served as senior product management and business development leader in several renowned hi-tech companies including IBM, Akamai, WebEx and Coremetrics in Hong Kong with proven records in leading complex business adoptions in cloud computing, AI and data analytics.
When he was in the Silicon Valley, he was the founding technical staff of VC funded startups Internet Travel Network and Utopia Communications. He also worked for a number of NASDAQ companies, such as CICI, Excite@Home and Cambridge Technology Partner in both product development and management capacity.
Stephen graduated from the State University of New York with PhD in Computer Science. He specialized in AI, Data Pattern Analysis and Computer Vision, and has authored more than 30 refereed publications.
12:30 – 13:30