The Era of AI Transformation: Challenges and Evolution — Professor Tao Yun-Chih, Former General Manager of LINE and LINE Pay, Shares Future Trends in the Age of AI
With the rapid advancement of artificial intelligence (AI) technologies, the global educational and industrial landscape is undergoing unprecedented challenges and transformation. To enhance faculty members’ understanding of AI development trends, cultivate a digital transformation mindset, and strengthen their AI application capabilities, Ming Chi University of Technology held a special lecture entitled “The Era of AI Transformation: Challenges and Evolution” on May 26, 2026. The university was honored to invite Professor Tao Yun-Chih, co-founder of Course Hero Fast and adjunct professor at National Taiwan University D-School, to share his valuable insights. As the former General Manager of LINE and LINE Pay, Professor Tao possesses extensive experience in both industry and academia. The lecture attracted enthusiastic participation from faculty and staff, with lively discussions and interactions throughout the event.
During the lecture, Professor Tao combined his practical experience in both education and industry to present real-world cases demonstrating the applications of generative AI in teaching design, content creation, data analysis, and workflow optimization. He explained how AI technologies can effectively improve work efficiency and enhance decision-making quality, while also analyzing the opportunities and challenges brought by the development of AI and its growing integration into education, research, and industrial development. Additionally, Professor Tao discussed the essential competencies required in the AI era, including interdisciplinary integration, innovative thinking, and the ability to utilize digital tools, encouraging faculty and staff to explore how AI can be effectively incorporated into teaching and administrative practices to adapt to the rapidly changing digital environment.
Furthermore, Professor Tao arranged a hands-on session using Google AI Studio, guiding faculty and staff to write and implement programs through natural language prompts. He demonstrated how generative AI can quickly generate code, optimize programming logic, and perform functional testing, allowing participants to directly experience the applications of generative AI in software development workflows and understand its practical value in reducing learning barriers, improving development efficiency, and fostering innovative applications.
Image (No. 1) Description: Professor Tao Yun-Chih Presented a Lecture Titled “The Era of AI Transformation: Challenges and Transformation”
Image (No. 2) Description: Ming Chi administrators and faculty members exploring how to use Google AI Studio through natural language prompts for coding and app development.
