AI赋能开启保险资管新时代

Group 1 - The core viewpoint is that AI technology is reshaping the operational logic of various industries at an exponential rate, and the insurance asset management industry in China must embrace this transformation proactively to enhance operational efficiency and risk management [1][2]. - AI construction is deemed an inevitable choice for high-quality development in the insurance asset management sector, enabling a shift from a "human-driven" model to a "human intelligence + machine intelligence" dual-driven paradigm [2][3]. - The asset management industry is characterized by data and knowledge intensity, and AI can efficiently process vast amounts of information, significantly improving work efficiency and reducing error rates [3][4]. Group 2 - The investment research system is identified as the best entry point for AI construction due to its importance and complexity, with the establishment of a proprietary deep research intelligent system (TKDR) that integrates extensive internal and external research data [4][5]. - TKDR demonstrates advantages over traditional research models by quickly identifying core demands, utilizing resources, and generating structured research outputs, thus enhancing research efficiency and quality [5][6]. - To effectively advance AI construction, a robust supporting mechanism must be established, including optimizing governance systems and creating a talent team that adapts to AI transformation [6][7]. Group 3 - The organization must shift from a traditional "technology-led, business-supported" model to a collaborative mechanism that integrates business experts, technical personnel, and data analysts, promoting agile team structures [7]. - Emphasizing the importance of data asset management is crucial for ensuring the security and compliance of AI applications, which is essential for enhancing the overall competitiveness of the insurance asset management industry [7].