The CGMA Global Business Challenge 2024, hosted by AICPA and CIMA, was a transformative journey for business students Olivia ZHAI, Lacey HE, Fiona WANG, & Isabella ZHU. Tasked with using AI tools to solve complex business scenarios as financial managers for a fictional company, the team engaged in intensive collaboration, research, and strategic planning. The grueling 24-hour final round pushed them to their limits, but their preparation and teamwork shone through.
Support from PolyU and their dedicated coach Dr. William WONG was instrumental in refining their skills, leading them to victory in the Hong Kong championship, the 1st Runner-up, and the Best AI Application Award in the North Asia final. This experience not only tested their abilities but also strengthened their resolve and camaraderie, marking a significant milestone in their academic and professional journey.
Ms. ZHAI Yujia
Ms. HE Zixuan
Ms. WANG Fangyu
Ms. ZHU Yingfan
School of Accounting and Finance
PolyU Department of Logistics and Maritime Studies
Faculty of Business
Sam's involvement in survival analysis demonstrates knowledge in estimating survival probabilities while addressing censoring and truncation. Understanding the statistical methods for analyzing survival data, particularly in medical contexts, is a key mathematical skill.
The project's focus on high-dimensional data analysis, akin to machine learning, highlights proficiency in handling datasets with a large number of features. This requires advanced mathematical techniques to discern patterns and behaviors within the data.
Sam's project involves regression analysis to examine survival probability concerning high-dimensional features. Regression, a fundamental statistical method, aids in modeling relationships between variables, showcasing mathematical expertise.
Overcoming challenges in algorithm implementation, specifically adopting the "divide and conquer" strategy, demonstrates skills in algorithmic design and optimization. Mathematical proficiency is crucial in breaking down complex problems into manageable subproblems.
Addressing missing data challenges in the project reflects expertise in statistical modeling. Choosing appropriate techniques for handling missing values involves mathematical considerations, ensuring accurate and unbiased analysis.
Sam's fusion of statistics and healthcare in Biostatistics reflects an enthusiasm for interdisciplinary learning. Lifelong learners often explore diverse fields, recognizing the synergy between different domains and integrating knowledge for comprehensive understanding.
Sam's engagement with Big Data and utilization of advanced computational techniques highlight the importance of adapting to technological changes. Lifelong learners stay abreast of technological advancements, leveraging tools for efficient data analysis and research.
Sam's use of the "divide and conquer" strategy to overcome complex algorithm implementation reveals a dedication to problem-solving. Lifelong learners hone strategies to tackle challenges, emphasizing the process of breaking down intricate problems into manageable components.
Sam's acquisition of skills in LaTeX, effective communication, and using ChatGPT for writing advice underscores the need for a well-rounded skill set. Lifelong learners actively cultivate not only technical skills but also communication, presentation, and collaboration abilities to thrive in diverse environments.
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