智驭未来：人工智能驱动资产管理新范式 | 清华五道口香港论坛

Core Viewpoint - The forum highlighted the transformative impact of artificial intelligence (AI) on the asset management industry, while also addressing the challenges that lie ahead in its implementation and integration [3][5][17]. Group 1: Key Insights from Keynote Speakers - Liang Dingbang emphasized that different asset management firms are leveraging AI in varied ways, with large firms using proprietary AI platforms for risk analysis, while smaller funds utilize third-party tools to enhance investment insights [3]. - Yang Qiang discussed the evolution of AI towards multi-modal integration and intelligent systems, stressing the need for decentralized models to address challenges in various sectors, including finance [5]. - Wu Chao pointed out the symbiotic relationship between quantitative trading and AI, highlighting the shift from linear models to end-to-end AI models that enhance data processing capabilities [7][8]. Group 2: Roundtable Discussions - Zhang Wei noted that the asset management industry is transitioning from experience-based decision-making to data-driven approaches, driven by advancements in AI technology [10]. - Gao Bin argued that AI cannot fully replace human judgment in investment activities due to the inherent complexities and unpredictability of the market [12]. - Zhong Hong highlighted the importance of human-machine collaboration in the future of asset management, where AI's computational efficiency complements human insight and judgment [17]. - Xia Chun pointed out that even as AI becomes more integrated into investment processes, human oversight will remain crucial for accountability and regulatory compliance [19].