Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1–3, 2023, Chongqing, China

Research Article

Research on the Marketing Transformation of Insurance Industry Under Generative Artificial Intelligence Technology

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  • @INPROCEEDINGS{10.4108/eai.1-9-2023.2338781,
        author={Xiaoying  Lin and Wei  Ruan},
        title={Research on the Marketing Transformation of Insurance Industry Under Generative Artificial Intelligence Technology},
        proceedings={Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1--3, 2023, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICPDI},
        year={2023},
        month={11},
        keywords={aigc insurance marketing nlp technologies knowledge graphs vector databases},
        doi={10.4108/eai.1-9-2023.2338781}
    }
    
  • Xiaoying Lin
    Wei Ruan
    Year: 2023
    Research on the Marketing Transformation of Insurance Industry Under Generative Artificial Intelligence Technology
    ICPDI
    EAI
    DOI: 10.4108/eai.1-9-2023.2338781
Xiaoying Lin1,*, Wei Ruan2
  • 1: Shanghai Sanda University
  • 2: Shanghai Regulatory Bureau of State Administration for Financial Regulation
*Contact email: linxy06@cuc.edu.cn

Abstract

With the continuous development of artificial intelligence (AI) And natural language processing (NLP) technologies, Generative AI (AIGC) has become one of the most prominent technologies in the insurance industry. The application of AIGC technology can provide deep technological empowerment for the insurance industry in the marketing field: improving the production efficiency of insurance marketing content, improving the recommendation efficiency of insurance products, improving customer satisfaction and loyalty, and improving the service level of insurance marketing personnel; In response to the shortcomings of current AIGC large-scale language models, the paper proposes two innovative technical architecture solutions: combining large language models with knowledge graphs and vector databases to provide more knowledge for reasoning and understanding; The main issues faced by AIGC technology in the field of insurance marketing include copyright issues related to marketing content, potential privacy violations of users using data, data security issues, and the professionalism of data used in large language training models.