这家法国保险公司的Guillaume Borie在一次业绩电话会议上对记者表示，安盛在过去两年对人工智能 （AI）进行了大量投资，这些投资正在取得成效。他说，在2025年期间，这项技术的应用直接推动了 效率提升，并改善了技术利润率。该高管补充说，AI可以帮助解决行业内的历史性挑战，让保险公司 能够使定价更加精确、提升承保质量、改善客户服务并加速其应用的技术发展。 责任编辑：何云 这家法国保险公司的Guillaume Borie在一次业绩电话会议上对记者表示，安盛在过去两年对人工智能 （AI）进行了大量投资，这些投资正在取得成效。他说，在2025年期间，这项技术的应用直接推动了 效率提升，并改善了技术利润率。该高管补充说，AI可以帮助解决行业内的历史性挑战，让保险公司 能够使定价更加精确、提升承保质量、改善客户服务并加速其应用的技术发展。 责任编辑：何云 ...

Group 1 - The company, Haicheng Bangda, plans to gradually promote the application of AI technology in certain business scenarios starting from the second half of 2024 [2] - The focus areas for AI implementation include customs affairs, documentation, and reconciliation, primarily in operational tasks [2] - The deep application of AI technology is expected to effectively reduce repetitive labor, achieve reasonable cost reductions, and steadily improve service quality [2]

Core Insights - The 2025 Greater Bay Area Exchange Technology Conference held in Shenzhen focuses on the theme "Towards the Era of Artificial Intelligence+" and highlights the transition of AI technology in the securities industry from conceptual exploration to deep implementation, presenting both opportunities for efficiency enhancement and challenges for governance system adaptation [1][2] Group 1: AI Technology in Securities Industry - AI technology is seen as a core driving force for high-quality development in the capital market, pushing the securities industry into a more vibrant and resilient digital intelligence phase [1][2] - The integration of AI technology is reshaping the service forms within the securities industry, promoting continuous evolution towards intelligence, efficiency, and inclusiveness [1][2] Group 2: Implementation and Regulatory Framework - Companies like Guotai Junan Securities have completed the systematic construction and large-scale promotion of AI applications, with over 150 AI-related applications implemented, creating a new development pattern of "ubiquitous digital intelligence" [2] - Regulatory bodies are actively integrating AI technology into the entire regulatory process to enhance regulatory efficiency and ensure compliance within the industry [2][3] Group 3: Challenges and Solutions - Challenges such as data security, algorithm governance, and regulatory collaboration exist, but they are not insurmountable as the industry deepens its understanding of AI technology and adapts its regulatory framework [3] - The implementation of AI must prioritize compliance and safety, focusing on high ROI business scenarios for initial practices before expanding to more complex areas [3] Group 4: Future Directions - The Shenzhen Stock Exchange plans to advance its digital and intelligent infrastructure across six key areas during the 14th Five-Year Plan, including the construction of intelligent computing infrastructure and the integration of AI in core business areas [4]

Core Insights - The 2025 Greater Bay Area Exchange Technology Conference highlighted the transition of AI technology in the securities industry from conceptual exploration to deep implementation, presenting both opportunities for efficiency and challenges for governance [1] - AI technology is expected to be a core driver for high-quality development in capital markets, leading the securities industry into a more vibrant and resilient digital era [1] - The integration of AI in the securities sector is not only reshaping service forms but also promoting continuous evolution towards intelligence, efficiency, and inclusivity [1] Industry Developments - Companies like Guotai Junan Securities have completed the systematic construction and large-scale promotion of AI applications, with over 150 AI-related applications implemented, creating a new development pattern of "ubiquitous digital intelligence" [2] - Regulatory bodies are actively integrating AI technology into the entire regulatory process to enhance regulatory efficiency and ensure compliance within the industry [2] - The Shenzhen Stock Exchange aims to build an internationally leading digital system during the 14th Five-Year Plan, focusing on digital infrastructure, platforms, capabilities, and ecosystems [2] Challenges and Solutions - Challenges such as data security, algorithm governance, and regulatory collaboration are currently hindering the full realization of AI's value in the securities industry [2] - Experts believe that these challenges can be overcome through deeper understanding of AI technology, dynamic adaptation of regulatory systems, and collaborative innovation among academia, industry, and research [3] - The implementation of AI must prioritize compliance and safety, focusing on high ROI business scenarios for initial practices before expanding to more complex areas [3] Future Directions - The Shenzhen Stock Exchange plans to advance six key areas during the 15th Five-Year Plan, including the construction of intelligent computing infrastructure and the integration of AI in core business areas [4] - The exchange will also enhance the governance of AI applications and strengthen innovative research in intelligent technologies [4]