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Theme 01: Digital Transformation & Organizational Systems
Topic 1.1: Why has digital transformation always failed? Process debt is the main obstacle!
📍 Key Question
Why do digital transformation initiatives often fail despite significant investments in technology?
📍 Reflection
Digital transformation is often perceived as the adoption of new technologies or systems. However, I see it more as a long-term organizational endeavor. Factors such as process design, cross-functional collaboration, and employees’ daily work practices all influence the success of transformation initiatives. This perspective has helped me realize that organizational change is not just a technical challenge, but also a matter of how people, processes, and systems work together across the whole organization.
Topic 1.2: Why did your AI transformation fail? The pain point analysis, common myths, and the five steps a company should know before implementing AI.
📍 Key Question
What are the main barriers that prevent companies from successfully implementing AI transformation?
📍 Reflection
The rise of AI has made transformation a priority for many organizations. What interested me most is that the biggest challenge often lies beyond the technology itself. Even powerful AI tools cannot create value without reliable data, clear processes, and organizational readiness. This topic helped me understand that successful AI transformation is as much about people and systems as it is about technology.
📍 Key Question
📍 Reflection
The general trend in retail in Taiwan has been steady growth; however, the most recent data indicate significant structural shifts rather than an overall decline. Although there continues to be growth in some categories, it is very clear that certain categories are under significant pressure due to broadening economic conditions and changing consumer behaviours.
Through researching this topic, I realized that most market changes are not uniform. Retail is typically viewed as one large growing unit, but it would make more sense to view it as a system made up of many different segments that react in alternative ways to economic forces and consumer demands. Identifying the location of growth and understanding changes in consumer behaviour requires data.
Theme 02: Data Governance & Information Accessibility
Topic 2.1: What is data cleaning? It is a crucial step in data analysis and AI applications.
Topic 2.2: As data grows, management becomes more chaotic. Start improving with data governance.
Theme 03: Human-centered Healthcare Communication
Topic 3.1: The core challenge of smart hospitals: How can efficiency exist when data cannot be integrated in real time?
Theme 04: AI & Future Urban Experiences
Topic 4.1: What is an AI City? Industrial Transformation and Business Challenges in the Era of Smart City Upgrades
