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3月19日上午，《全球ESG趋势与中国ESG发展研究》 成果发布会在国务院发展研究中心举行，正式发布课题研究总报告《中国ESG发展与展望》 （简本）。 课题组由国务院发展研究中心组建，Wind ESG评级提供了数据库及计算支持。 发布会上，国务院发展研究中心副主任隆国强致辞并作主旨演讲，力拓集团首席执行官石道成(JakobStausholm)致辞，国务院发展研究中心企业研究所原 所长陈小洪、企业研究所所长袁东明、资源与环境政策研究所所长高世楫先后作成果介绍。 中国企业改革与发展研究会会长、国务院国有资产监督管理委员会原党委委员彭华岗，生态环境部应对气候变化司副司长陆新明，国际可持续准则理事会 (ISSB)主席特别顾问兼北京办公室主任张政伟，国家节能中心副主任康艳兵，力拓集团健康、安全和环境总裁弗洛伊迪斯·卡梅隆-约翰逊，上海财经大学 和清华大学教授、国际会计准则理事会前理事张为国等嘉宾围绕课题报告展开了研讨。 中铝集团党群工作部副主任、直属纪委书记宋昇，宁德时代副总裁孟祥峰，联想集团ESG与可持续发展负责人、联想中国平台ESG委员会秘书长王旋，联 影医疗公共事务部总裁孙伟森等企业代表结合自身相关业务分别发言。 ...

Core Viewpoint - The article emphasizes the transformative impact of DeepSeek, an open-source large language model, on the financial industry, highlighting its cost-effectiveness, efficiency, and innovative technology that supports the intelligent transformation of financial data [1][3][21]. Group 1: Core Technical Advantages of DeepSeek - DeepSeek employs a permissive open-source strategy (MIT License), enabling rapid global dissemination and application of its technology, fostering a developer ecosystem that allows small and medium enterprises to adopt AI capabilities at low costs [3][4]. - The model enhances traditional large models by introducing "active learning" capabilities, allowing it to adapt and optimize its performance based on market changes, thus improving decision-making in financial data analysis [5][6]. - DeepSeek optimizes the entire training process, significantly improving efficiency and reducing costs through techniques like mixed expert models and data compression, making top-tier AI technology accessible to smaller enterprises [7]. Group 2: AI Applications in the Financial Industry - AI, including DeepSeek, enhances operational efficiency in financial institutions by automating customer service and programming tasks, leading to a 50% increase in customer service efficiency at LSEG [9]. - In risk management, AI optimizes risk control models by analyzing large datasets and generating timely risk assessments, enabling financial institutions to mitigate potential losses [10]. - AI improves investment strategies by providing personalized investment advice based on market dynamics, as demonstrated by TwoSigma's use of large models to analyze financial reports and news [11]. - AI enhances customer experience through personalized recommendations and intelligent interactions, increasing customer satisfaction and engagement, exemplified by Standard Chartered's collaboration with LSEG [12]. Group 3: Compliance Challenges and Strategies - The financial sector faces data privacy and security risks due to its reliance on sensitive data, with potential threats from misuse of biometric information and phishing attacks [13]. - Financial institutions using DeepSeek can ensure data security and compliance through localized deployment and encryption technologies, mitigating legal risks [14]. - User education is crucial in the AI era, with financial institutions employing AI to monitor and alert users about potential risks, creating a dual defense of technology and education [15]. Group 4: Future Trends and Innovations - AI Agents are expected to automate business processes, significantly improving efficiency and reducing human error in tasks like fundamental and technical analysis [16]. - The development of multimodal capabilities in DeepSeek will allow for better integration of visual and auditory data, enhancing investment decision-making [17]. - Future language model developers may use natural language to "code," lowering the technical barriers for AI development and fostering rapid business innovation [18]. - DeepSeek's low-cost AI approach may democratize access to advanced analytical capabilities, reshaping the competitive landscape in the financial sector [19].

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Core Insights - The article emphasizes the importance of alternative data in understanding consumer trends and company fundamentals in the U.S. stock market [1][4] - It highlights the growing interest among industry experts in utilizing alternative data to uncover investment opportunities and mitigate risks [1] Group 1: Webinar Overview - The webinar titled "Grasping U.S. Stock Fundamentals: The Use and Value of Alternative Data" will focus on how to leverage alternative data to analyze U.S. stock fundamentals and consumer trends [4] - Key topics include analyzing fluctuations in consumer spending across various industries and differences in spending among different income levels [2] - The session will introduce Bloomberg's datasets, particularly Bloomberg Second Measure (BSM) and Transaction Level Data Product (TLDP), to aid in understanding competitive strategies [4] Group 2: Registration Information - Registration for the webinar requires a review process, and participants will receive a confirmation notification via WeChat upon approval [3] - Attendees will also receive specific reminders before the event starts [3]