上海陆家嘴助力大模型在资产管理领域实践

Core Viewpoint - The conference held in Lujiazui Financial City aims to promote the application of new technologies, particularly artificial intelligence and large model technology, in the asset management industry, and has initiated the establishment of industry standards for the application of large models in asset management [1][2] Group 1: Conference Overview - The event titled "Shanghai Global Asset Management Center Construction Asset Management Technology Conference and 2025 Asset Management Technology Entrepreneurs and Investors Conference" focuses on the integration of AI with asset management [1] - Nearly a hundred technology companies and asset management institutions participated in showcasing and exchanging new technologies related to core asset management business scenarios such as equity investment, industrial mergers and acquisitions, and securities investment [1] Group 2: Industry Standards - The "Guidelines for the Application of Large Models in Asset Management" are being developed under the leadership of the Shanghai Municipal Financial Committee Office, in collaboration with the Shanghai Asset Management Association and the Intelligent Investment Research Technology Alliance [2] - The establishment of industry standards aims to provide normative guidance for the application of large models in asset management, clarify technical requirements and business specifications, reduce trial and error costs, and prevent disorderly development [2] Group 3: Industry Development - Lujiazui Financial City, as a core functional area of the global asset management center, houses over 8,000 financial institutions, including 80% of the country's foreign asset management institutions and 40% of foreign legal banks [2] - The development of asset management technology is expected to enhance efficiency and risk control capabilities in the asset management industry, as well as upgrade service experiences and business models [3] - The implementation of intelligent investment advisory and personalized wealth management scenarios can cover a broader range of investors, facilitating the industry's transition from a "product-driven" to a "service-driven" model [3]