𝐓𝐡𝐞 𝐦𝐨𝐬𝐭 𝐚𝐜𝐜𝐮𝐫𝐚𝐭𝐞 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥 𝐦𝐚𝐲 𝐧𝐨𝐭 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐨𝐧𝐞 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬.

As AI applications develop rapidly, business leaders must look beyond headline performance. Which model best fits your organization’s actual tasks? What data, expertise, computing power, and verification work will be required? What are the implications if proprietary business data is used to train an external provider’s model? 

Join us for the 𝐇𝐊𝐔𝐒𝐓 𝐃𝐁𝐀 𝐈𝐧𝐟𝐨 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐓𝐚𝐥𝐤 𝐢𝐧 𝐒𝐡𝐚𝐧𝐠𝐡𝐚𝐢, where Professor Allen Huang, Head of the Department of Accounting at HKUST Business School, will examine these questions through the practical case of earnings forecasting. 

The session will offer a practical framework to help business leaders compare proprietary, open-source, and specialized AI models, assess the resources required for deployment, and make better-informed AI adoption decisions. 

You will also have the opportunity to connect with the HKUST academic community and explore the HKUST DBA and MBA Programs. 

Date: Saturday, 24 October 2026

Time: 9:45 AM to 12:00 PM
 

Location: Central Business District, Shanghai

Secure your seat NOW!