Jin Rong Shi Bao·2025-11-26 02:01Core Insights - The article emphasizes the transformative impact of the "Artificial Intelligence +" initiative on the insurance industry, highlighting its role as a core driver for the sector's transition from traditional services to intelligent and inclusive solutions [2][3][4] - The integration of AI into actuarial practices is identified as a key area for enhancing operational efficiency and decision-making capabilities within insurance companies [4][6] Policy and Strategic Framework - The "Artificial Intelligence +" initiative was first included in the government work report in March 2024, with a commitment to further integrate digital technologies with market advantages by 2025 [2] - The State Council's recent opinions on implementing the "Artificial Intelligence +" initiative emphasize the importance of innovation in service industries and the application of AI across various sectors, including finance and logistics [2] Industry Adoption and Innovation - Insurance companies are increasingly moving from isolated AI applications to comprehensive integration across their operations, as seen in the case of Guomin Pension Insurance, which aims to reshape its entire value chain using AI [3][6] - China Ping An has focused on AI applications in the healthcare and pension sectors, developing a unique competitive edge through its "Five Intelligence" strategy, which encompasses marketing, service, operations, management, and business practices [3] Actuarial Technology Revolution - The article discusses a significant shift in actuarial technology, driven by AI, which enhances the accuracy and reliability of actuarial assumptions critical for pricing and risk management [4][5] - The application of AI in actuarial practices is expected to lead to more precise pricing and improved risk quantification, ultimately benefiting customer interests [6] Data Governance Challenges - The insurance industry faces challenges in data governance, including insufficient data integration and standardization, which hinder the effective use of AI [7][8] - Experts suggest that enhancing data governance is essential for the successful integration of AI in insurance, advocating for improved data quality control and security measures [7][8] Future Directions - The article highlights the need for insurance companies to strengthen their data governance frameworks, ensuring comprehensive data management and security to support AI initiatives [8][9] - The establishment of clear data security responsibilities and guidelines is crucial for protecting sensitive customer information and facilitating the effective use of AI technologies [9]