Core Insights - The integration of AI into the financial sector is crucial for achieving sustainable development and requires a systematic approach [1][3] Group 1: AI's Role in Finance - AI is reshaping the foundational logic of the financial industry, enhancing service efficiency and contributing to a more resilient and inclusive global economy [2] - The financial sector is identified as a key area for AI technology to unlock value and achieve breakthrough applications [1] Group 2: Key Areas for Development - Five critical areas need attention for the sustainable development of AI in finance: assessing the current state of AI in finance, understanding the basic attributes of finance that influence AI requirements, analyzing the profound impacts of AI on the financial system, conducting forward-looking research on AI trends, and building a robust ecosystem for AI in finance [3] - Collaboration across disciplines and industries is essential for the successful integration of AI into finance, with a focus on creating a "technology-finance-industry" ecosystem [2][3] Group 3: Quantum Computing and AI - The combination of AI and quantum computing is seen as a potential paradigm shift in addressing real-world challenges in financial technology [4] - Quantum computing is expected to play a significant role in areas such as financial modeling, derivative pricing, and data analysis, particularly concerning information security [4] Group 4: Future Directions - The next phase of AI development in finance will focus on leveraging industry-specific knowledge to solve problems rather than merely applying external scenarios [4][5] - The importance of partnerships and collaborative efforts in the AI era is emphasized, with a focus on the need for hybrid talent that bridges technology and business insights [5]

众安保险常务副总经理兼董事会秘书王敏表示，AI的价值已成为多行业的共识，行业关注点已从"是否 布局AI"转向"如何落地AI"。他指出，过去一段时间大家更多强调的是"AI+行业"，即由AI的厂商或大 模型的相关部门为行业提供赋能；而下一阶段的红利必将聚焦"行业+AI"，即以行业自身的专业知识 (know how)为基础，通过AI去解决更多的问题，而不是简单应用外部场景。同时，他认为AI时代的竞争 力其实是"技术洞察+业务洞察+产品的落地执行力"，而不仅是技术本身。尽管AI时代有更多人工替 代，但AI不是替代人工，而是释放人工产能的变革。 为AI落地金融铺轨，监管如何既设"边界"又装"导航"？与会嘉宾还聚焦AI在金融领域的应用场景与实际 问题，提出监管应守住安全道德底线、引导创新，且要平衡数据共享与隐私保护。 论坛现场举行了高金与上海数据集团战略合作签约仪式。未来，双方将充分发挥各自在金融研究、数据 资源整合等领域的优势，重点围绕智库联合研究、品牌活动共建、人才培养与交流等领域展开全面战略 合作，共同探索"金融+数据"创新应用场景。 高金创院理事长屠光绍表示，AI落地金融是金融与科技融合发展的重要内容，也是系统工 ...