重磅资管会议！众多大咖发声

Core Viewpoint - The sixth Asset Management Technology Developers Conference emphasizes the deep integration of AI in the asset management industry, highlighting the historical opportunities presented by AI technologies [2][3]. Group 1: Conference Overview - The conference was held on October 17, 2025, in Shanghai, focusing on the theme "AI + Asset Management," gathering over 300 guests from various sectors including government, finance, and technology [2][4]. - The event is part of the "Global Asset Management Center Shanghai International Activity Week 2025" and aims to explore the application and development trends of AI in asset management [2][4]. Group 2: Key Insights from Speakers - Zhao Yihuai, a government official, emphasized the role of the Lingang New Area in financial innovation and the importance of creating a benchmark for financial technology [4]. - Yang Qiang, chairman of the Intelligent Investment Research Technology Alliance, noted the growth of member institutions from 72 to 333 over five years, indicating a shift in AI's role from a tool to an ecosystem [4][5]. - Jia Biao, president of the Shanghai Asset Management Association, highlighted that AI technologies are transforming investment research, advisory, trading, and risk control processes [5]. Group 3: Challenges and Solutions in AI Development - Yang Qiang identified five major challenges in AI model development, including the misalignment of AI expansion laws and hardware limitations, and proposed solutions like federated learning [7]. - Xiao Jing from Ping An Group discussed the three stages of AI development and emphasized the need for high-quality data and robust technical platforms [7]. - Bai Shuo from Hang Seng Electronics focused on how AI is reshaping investment research processes through enhanced efficiency and accuracy [7]. Group 4: AI Applications in Various Industries - The conference featured discussions on AI applications in satellite design, new materials, and semiconductor manufacturing, highlighting investment opportunities in these areas [10][11]. - Chen Bimei from Shanghai Jiangling Technology showcased AI's role in semiconductor manufacturing, emphasizing the market potential due to low domestic production rates [11]. - Future trends in AI include the development of home AI assistants and the modularization of robotics, indicating a shift towards more integrated and user-friendly AI solutions [11]. Group 5: AI in Asset Management - The second roundtable focused on the integration of AI in asset management, with discussions on the need for a reliable data space and the challenges of data governance and talent acquisition [14][15]. - Wu Miao from Ping An introduced "Zhipu Assistant" for knowledge management and collaborative work, aiming to evolve AI from an assistant to a collaborative entity [15]. - The importance of establishing a comprehensive auditing mechanism for AI applications was emphasized to ensure model interpretability and regulatory compliance [15].