• Kai Hua

     

    Chief Technology Officer

    Microsoft Taiwan

     

     

    Topic

     

    Generative AI: Innovations, Challenges, and Future Growth

     

    Speaker Profile

     

    Education:
    • PhD: School of Electrical and Computer Engineering, Purdue University, USA
    • MS: Department of Communication Engineering, National Chiao Tung University (NCTU), Taiwan
    • BS: Department of Electrical Engineering, National Tsing Hua University (NTHU), Taiwan

    Experience:
    • Chief Technology Officer, Microsoft Taiwan
    • Dean, Office of Industry-Academia Collaboration, Taiwan Tech.
    • Vice Dean, College of Electrical Engineering and Computer Science, Taiwan Tech.
    • Evaluation Committee, Dept. of Engineering and Technologies, Ministry of Sci. and Tech.
    • Deputy General Director, Information and Communications Research Laboratories, Industrial Tech. Research Inst. (ITRI)
    • Engineer, Hewlett Packard Labs

    Awards:
    • 2024, World's Top 2% Scientists
    • 2024, A* Award, Institute for Information Industry
    • 2023, Operational Excellence Award, Microsoft Taiwan
    • 2022, K. T. Li Cornerstone Award, Institute of Information & Computing Machinery
    • 2020, Outstanding Research Award, Taiwan Tech.
    • 2019, Excellent Research Award, Taiwan Tech.

     

    Outline

     

    The rapid development of generative AI technology is driving profound transformations across various industries, showcasing tremendous innovative potential, from image generation and language processing to music creation. However, as innovation progresses, challenges also emerge, particularly in areas such as ethics, privacy, and security. Ensuring that technology is not misused, safeguarding data security, and complying with regulations have become pressing issues to address. Nevertheless, the future of generative AI is full of limitless possibilities. As the technology matures, it will drive digital transformation in enterprises and open up diverse new applications. Moving forward, overcoming technological limitations, addressing ethical and compliance challenges, and achieving deep integration across various sectors will be the focal points of attention. This speech will delve into the latest innovations in generative AI, the current challenges, and its potential for future growth, as well as explore how to realize its innovative applications.