Lingnan University eBSCM Programme Hosts Successful Seminar on Careers in Data Analysis and AI for Business Excellence

Hong Kong, January 17, 2025 — Lingnan University's Master of Science in E-commerce and Supply Chain Management (eBSCM) Programme hosted a successful seminar on January 17, 2025, titled "Sharing on Careers in Data Analysis and AI for Business Excellence." The event featured distinguished speakers Rory CHEN and Mia XUE, who shared their invaluable insights and experiences with the students.

Rory CHEN, with extensive experience in financial institutions including China CITIC Bank International, AXA, Cigna, and Ipsos Consulting, discussed the applications of data analysis and AI in digital marketing. He highlighted the evolution of digital marketing within the financial sector, focusing on customer-centric, data-driven strategies. Rory shared a case study on developing and marketing an ESG-themed home insurance product and provided practical advice on developing data skills and navigating job markets.

Mia XUE, currently a Risk Manager at an Internet company and former Data Specialist at DBS Hong Kong, brought her expertise in data processing, data mining, data visualization, digital operations, and risk management to the seminar. She emphasized the role of data analytics in enhancing risk management and operational efficiency, illustrating the use of automation, real-time processing, and advanced technologies like machine learning and cloud computing. Mia shared examples of chatbot performance optimization and anomaly detection in expense claims, stressing the importance of data skills in career advancement.

The seminar provided students with a comprehensive understanding of the practical applications of data analysis and AI in business, highlighting their significant impacts on various sectors. The insights and advice shared by Rory CHEN and Mia XUE were highly appreciated by the attendees, who gained valuable knowledge and inspiration for their future careers.

Lingnan University extends its gratitude to Rory CHEN and Mia XUE for their contributions and looks forward to hosting more events that bridge the gap between academia and industry, fostering the next generation of leaders in data analysis and AI.