“FAMILY OFFICE” at Asset Management and Private Banking (“AMPB”)

“FAMILY OFFICE” at Asset Management and Private Banking (“AMPB”)

“Family Office” is becoming a hot topic for Hong Kong.  Not just the HKSAR Government and the asset and wealth management industry are keen to promote Hong Kong as a “Family Office Hub”, we at the HKU Business School is closely following the trend and preparing our students to understand the industry dynamics.

Other than having our “Family Office” course FINA 3336, which covers basic concept and value of family office in the bigger picture of asset and wealth management, the AMPB Programme also brings industry practitioners to meet with our students to help them to understand the trend as well as career opportunities in the family office space.

Two events were held for our HKU Business School students:

(1) In February 2023, Mr. Grant Ko, Co-founder and Chairman of Wisdom Asset Management Limited (a key multi-family office) and a Board of Director of Family Office Association Hong Kong (FOAHK) joined us at the FINA3336 lecture to share his 25+ years of experience in the family office and private banking industry.  Mr Ko highlighted the positioning of Hong Kong in attracting ultra-high-networth-individuals to set up their family offices here.

Mr Grant Ko, second on the right together with the course instructors Edmond Lau, first on the right and Janet Li second on the left.

 

(2) In November 2022, Ms Angel Chia, Chair of the FOAHK and the Chief Strategy Officer of Fountainhead Partners (another key multi-family office), joined the monthly AMPB “Meeting the Practitioner Series”.  Ms Chia shared with us her personal story of converting her 20 years+ experience in securities and asset management in major financial institutions to managing a multi-family office and servicing ultra-high-networth-individuals.

Ms Angel Chia on the left and Prof Anna Wong on the right, with the AMPB students behind them.

Our students learnt a lot from the industry experts who shared with us insights about the growth of wealth in the region and Family Office development in Hong Kong.

Other Events
HKU Business School Releases a Comprehensive Evaluation Report on the Image-Generation Capabilities of AI Models
2025 | News
HKU Business School Releases a Comprehensive Evaluation Report on the Image-Generation Capabilities of AI Models
HKU Business School released a Comprehensive Evaluation Report on the Image Generation Capabilities of Artificial Intelligence Models, providing a systematic assessment of 15 text-to-image models and 7 multimodal large language models (LLMs). The results showed that ByteDance’s Dreamina and Doubao, as well as Baidu’s ERNIE Bot ranked among the top performers in terms of image content quality for new-image generation and image revision. However, despite DeepSeek having attracted global attention, its newly released text-to-image model, Janus-Pro, did not perform as well in new-image generation. HKU Business School researchers also found that while some text-to-image models excelled in content quality, their performance in safety and responsibility was significantly lacking. In general, multimodal LLMs demonstrated better overall performance compared to text-to-image models.
AI Image Generation Evaluation Results Released: ByteDance and Baidu Perform Well, DeepSeek Janus-Pro Falls Short
2025 | Research
AI Image Generation Evaluation Results Released: ByteDance and Baidu Perform Well, DeepSeek Janus-Pro Falls Short
The frontier of AI models has evolved beyond text processing to encompass the ability to understand and generate visual content. These models not only comprehend images but also generate visual content based on textual prompts. This study presents a systematic evaluation of the image generation capabilities of AI models, focusing on two core tasks: generating new images and revising existing images. Using carefully curated multidimensional test sets, we conducted a comprehensive evaluation of 22 AI models with image generation capabilities, including 15 text-to-image models and 7 multimodal large language models. The results show that ByteDance’s Dreamina and Doubao, as well as Baidu’s ERNIE Bot, demonstrate impressive performance in both new image generation and image revision tasks. Overall, multimodal large language models deliver superior performance compared to text-to-image models.