| 投资者关系活动 √ | 特定对象调研 □ 分析师会议 | | --- | --- | | 类别 □ | 媒体采访 业绩说明会 □ | | □ | 新闻发布会 路演活动 □ | | □ | 现场参观 | | □ | 其他 （请文字说明其他活动内容） | | 参与单位名称及 | 浙商证券、上海证券、盛世国际资本集团、华新金控资产管理有 | | 人员姓名 | 限公司、北京汇恒通资产管理有限公司、中财融商资本管理有限 | | | 公司、国泽基金（山东）管理有限公司、深圳市前海国金资产管 | | | 理有限公司、华创证券、西部证券、中华联合保险、丰汇投资、 | | | 广发通信、永赢基金、含章基金、信达澳亚基金。 | | 时间 | 年 年 月 2025 4 月-2025 8 | | 地点 | 公司会议室 | | 上市公司接待人 | 公司董事、副总经理、董事会秘书刘志勇先生，董事、副总经理、 | | 员姓名 | 财务负责人郭庆先生及证券事务代表翟晓艳女士。 | | | 一、介绍公司各大业务板块 | | | 公司董事会秘书刘志勇先生、财务负责人郭庆先生介绍了公 | | | 司发展历程、业务概况以及公司的核心优势、发展规 ...

数字金融作为现代经济体系的核心驱动力，正深刻重塑世界金融生态，也深度融合着国内证券行业。作 为金融"五篇大文章"中的重要内容，各家券商也对数字金融展开了积极实践和探索，东北证券 （000686）就是其中之一。 据了解，东北证券有着明确的数字化转型战略，其中的一个目标就是"打造特色数字金融服务"。该公司 十分强调数据治理，正全力推动发展数据驱动型决策文化。 总裁统筹领导战略实施 早在2021年，东北证券就确定了以"数字化转型"实现差异化发展的战略，制定了数字化战略规划，同时 发布了东北证券数字化全景蓝图，明确了科技整体规划思路、科技定位和愿景。 "公司总裁统筹领导数字化转型战略实施。公司信息技术治理委员会全面负责数字化转型工作，下设数 字化转型推进工作组，负责公司数字化转型相关事项的组织、落实推进等工作。"东北证券相关负责人 介绍说。 此外，东北证券各部门还配备了数字化专员，负责组织开展本部门数字化转型相关工作。同时，在公司 层面构建了从科技治理、数据治理、组织人才、生态合作四大方面的支撑体系，对各业务平台进行转型 升级。 打造特色数字金融服务，是东北证券数字金融的其中一个目标。据证券时报记者了解，这里的"特色 ...

Group 1: Green Economy - The green economy is emerging as a significant growth driver, with opportunities in new energy, energy conservation, and green building sectors [1][2] - The new energy vehicle industry is expected to maintain strong growth, supported by policies, technological advancements, and increased consumer awareness [1] - The energy-saving and environmental protection sector shows promising prospects, with rising demand for industrial energy conservation, building energy efficiency, and wastewater treatment [1] Group 2: Digital Economy - The digital economy is becoming a core force in economic development, with technologies like artificial intelligence, big data, cloud computing, and blockchain creating new growth points [3][4] - Artificial intelligence is being applied across various fields, enhancing efficiency and accuracy in healthcare, manufacturing, and finance [3] - Big data and cloud computing provide robust support for data storage, processing, and analysis, enabling businesses to achieve digital transformation [3] Group 3: Health Industry - The health industry is experiencing a golden development period, driven by increasing health awareness and an aging population [5][6] - There is a growing demand for medical services, including high-end medical care, rehabilitation, and internet healthcare [5] - Health management services are gaining popularity, offering personalized solutions for disease prevention and health maintenance [6] Group 4: New Consumption - The trend of consumption upgrading is creating innovative opportunities in new consumption fields, focusing on personalized, quality, and experiential demands [7] - High-quality food and beverage, fashion beauty, and smart home products are in high demand, with consumers prioritizing quality and brand [7] - New consumption models like live-streaming e-commerce and social e-commerce are rapidly developing, enhancing consumer shopping experiences [7] Group 5: Cross-Border E-commerce - Cross-border e-commerce is experiencing rapid growth, providing new opportunities for businesses to expand into international markets [8] - Emerging markets such as Southeast Asia, the Middle East, and Africa are showing significant consumption potential, with increasing internet penetration [8] - Optimizing supply chains is crucial for cross-border e-commerce, as it involves multiple processes including procurement, warehousing, and logistics [8]

Group 1 - Company "量化派科技有限公司" has submitted its listing application to the Hong Kong Stock Exchange, planning to issue up to 15,097,500 ordinary shares, with CICC and CITIC Securities as joint sponsors [1] - The listing coincides with the conclusion of China's 14th Five-Year Plan for the digital economy, with policies intensifying support for digital consumption and e-commerce innovation, positioning the company to leverage capital markets for further expansion in these sectors [1][2] Group 2 - The Chinese government has set strategic goals for the digital economy, including the cultivation of numerous billion-level e-commerce platforms and the establishment of a comprehensive cross-border e-commerce service system, providing policy incentives for companies like "量化派" [2] - "量化派" has developed a technology platform that integrates deeply into the e-commerce ecosystem, utilizing intelligent recommendation algorithms and dynamic pricing models to enhance conversion rates and user engagement [2] Group 3 - Since its establishment in 2014, "量化派" has focused on providing scenario-based digital precision matching solutions for e-commerce, cross-border trade, and smart manufacturing, aiming to reduce costs and improve efficiency through data intelligence [3] - The company reported a revenue of 3.82 billion yuan in the first half of 2024, a year-on-year increase of 47.56%, with adjusted profit rising by 75.75% to 1.54 billion yuan, indicating strong growth driven primarily by e-commerce technology services [3] - "量化派" has over 51.8 million registered users and an average daily active user count of 2.3 million, with a repurchase rate exceeding the industry average by 23 percentage points [3] Group 4 - The company plans to use the funds raised from its IPO to enhance its R&D capabilities, improve technical infrastructure, and promote its business model, focusing on technology iteration and scenario expansion [4] - The National Bureau of Statistics predicts that by 2025, China's digital economy will exceed 60 trillion yuan, with e-commerce transaction volume continuing to rise, indicating a promising future for "量化派" as it aims to shift digital consumption from a traffic-driven model to a value-driven one [4]

在AI快速发展的背景下，效率革命并非一蹴而就，而是一场需 要持续投入和创新的持久战。企业需要不断探索如何在有限的 资源下实现技术的最大化利用，同时寻找与商业需求的深度融 合点。 作者：滕斌圣 曹欣蓓 封图：图虫创意 1956年夏天，在美国汉诺斯小镇达特茅斯学院的一次会议上，人工智能（AI）的概念被正式提 出。彼时，由于计算能力和数据规模的限制，AI的商业化进展缓慢。直到21世纪，随着深度学习 技术的突破和大数据时代的到来，AI才真正进入商业化应用的快车道。 但AI商业化的道路并非一片坦途，技术、商业以及社会伦理的多重博弈，始终贯穿AI的发展。在 商业化尚未落地之时，企业仍面临重重挑战。 商业机遇：效率革命的明暗面 AI早期的商业化应用主要集中在一些特定的垂直领域，通过自动化、智能化和数据驱动等技术手 段，提升行业效率。 智能客服系统是AI早期应用的典型案例。通过自然语言处理技术，AI能够同时处理各类客户咨 询。 安防是另一个应用领域，如通过AI技术帮助公安部门快速识别嫌疑人。 在制造业，特斯拉的"黑灯工厂"也是AI应用的代表。工厂内，AI驱动的机器人承担了电池组装、 车身焊接等复杂任务。同时，特斯拉利用计算机 ...

Group 1: AI Commercialization and Challenges - The concept of artificial intelligence (AI) was officially proposed in 1956, but its commercialization faced slow progress due to limitations in computing power and data scale until breakthroughs in deep learning and the advent of big data in the 21st century [2] - Early commercial applications of AI were concentrated in specific verticals, enhancing industry efficiency through automation and data-driven techniques [3] - AI applications in customer service and security, such as natural language processing for handling customer inquiries and AI-assisted identification of suspects, exemplify early use cases [4][5] Group 2: Investment Trends and Market Dynamics - The efficiency revolution driven by AI has led to a surge in capital market financing, with significant investments in companies like Databricks and OpenAI, which raised $10 billion and $6.6 billion respectively in 2024 [6] - In the domestic AIGC sector, there were 84 financing events in Q3 2024, with disclosed amounts totaling 10.54 billion yuan, indicating a trend towards smaller financing rounds averaging 26 million yuan [6] Group 3: Industry Fragmentation and Competition - Fragmentation of application scenarios poses challenges for AI technology to transition from laboratory settings to large-scale deployment, increasing development costs due to non-standard characteristics across different manufacturing lines [7] - The concentration of resources in leading companies creates a "Matthew effect," where top firms benefit disproportionately from funding, talent, and technology, while smaller firms face systemic challenges [8] Group 4: Data Privacy and Ethical Concerns - Data has become a core resource for innovation in AI, but privacy issues are emerging as a significant concern, with companies facing dilemmas between data acquisition and user privacy protection [9] - The frequency of employees uploading sensitive data to AI tools surged by 485% in 2024, highlighting the risks associated with data governance [9] Group 5: Regulatory and Ethical Frameworks - The need for a balanced approach between innovation and privacy protection is critical for the long-term development of AI companies, as evidenced by legal challenges faced by firms like DeepMind and ChatGPT [10][11] - Establishing a collaborative governance network involving developers, legal scholars, and the public is essential to maintain ethical standards in AI development [11] Group 6: Future Directions and Innovations - AI technology is being integrated into various sectors, with companies like General Motors shifting focus from robotaxi investments to enhancing personal vehicle automation due to high costs and slow commercialization [17] - The emergence of competitive pricing strategies among leading firms aims to stimulate market demand and foster rapid application of large models, with price reductions reaching over 90% [17] - Innovations like DeepSeek-R1 demonstrate that performance can be achieved at significantly lower costs, indicating a potential path for sustainable development in AI [18]

Core Insights - The integration of culture and tourism is becoming increasingly important as the economy develops and living standards rise, transforming tourism into a pursuit of cultural experiences and spiritual enjoyment [1] - The dual promotion of cultural industries and tourism economies can inject vitality into related sectors such as transportation, dining, and accommodation, while enhancing cultural identity and pride among citizens [1] Group 1: Local Resource Exploration - Local cultural and tourism authorities should systematically explore rich historical and cultural resources, exemplified by Shanxi Province's efforts to protect and restore historical sites while preserving traditional architectural styles [2] - Engaging visitors through local customs and traditional crafts enhances their understanding of regional culture, as seen in the diverse cultural activities of the Dai ethnic group in Yunnan [2] Group 2: Red Culture Resources - Red culture resources embody significant historical and revolutionary spirit, with local tourism authorities focusing on the protection and restoration of sites like Jinggangshan to ensure historical authenticity [3] - Cross-regional tourism resource integration can leverage the unique advantages of different areas, as demonstrated by the collaboration among Beijing, Tianjin, and Hebei to create a rich tourism service system [3] Group 3: Cultural Innovation - A new model of cultural tourism emphasizes the equal relationship between culture and tourism, urging industry professionals to innovate and incorporate local cultural elements into tourism experiences [4] - Promoting traditional culture through various media and designing specialized tourism routes can deepen the integration of culture and tourism [4] Group 4: Incorporating Modern Elements - Local cultural and tourism authorities should embrace modern technologies like AI, IoT, and big data to support the development of the cultural tourism industry [5] - Examples include the use of immersive technologies in performances and virtual reality experiences to enhance visitor engagement and enjoyment [5] Group 5: Night Economy - The night economy represents a new form of cultural tourism development, where local authorities can integrate cultural elements to create unique cultural brands, as seen in Xi'an's "Daming Unnight City" [6] Group 6: New Business Models - Government policies should support the attraction of talent in the cultural tourism sector through housing subsidies and talent exchange platforms [7] - Educational institutions are encouraged to develop interdisciplinary curricula and collaborate with industry to enhance practical skills and international perspectives for students [7]

Core Viewpoint - The 2025 Fortune AI Brainstorming Conference will focus on the rise of AI agents and their productivity gains, examining how businesses transition from AI planning to practical implementation, and the impact of policies and regulations on this process [2][6]. Group 1: Conference Details - The conference will take place in Singapore from July 22 to 23, 2025, under the theme "AI Brainstorming 2025: Intelligence Unleashed" [1][6]. - It will feature global leaders, including executives from Fortune Global 500 companies, top investors, policymakers, and cross-industry talents [2][6]. Group 2: Discussion Topics - Key topics will include the AI race triggered by DeepSeek, infrastructure development for the digital economy in Asia, and the application of AI in fields such as medical diagnostics and music media [3]. - The agenda will also cover venture capital landscapes in AI, the intersection of AI with creativity, and intellectual property challenges [3]. Group 3: Format and Structure - The conference will include deep dialogues, immersive thematic discussions, and interactive roundtable meetings, providing a rich format for knowledge exchange [4][6].

Jack Wong 发表主题演讲 王秋艳女士发表主题演讲 在人工智能与数据科技迅猛发展的今天，金融行业正迎来前所未有的变革。 6月9日，由伦敦证券交易所 集团LSEG主办，亚马逊云科技合作举办的"智数金融：探索AI与数据科技的创新应用"主题活动 在杭州 成功举办，吸引了众多金融科技专家与从业者齐聚一堂。 LSEG亚太区Front Office解决方案总监Dr. Arman Sahovic致开场辞。 他强调，AI与数据科技正成为推动金 融行业效率跃迁与业务创新的核心动力 ，二十多年来，LSEG在亚太地区为客户提供数据可视化和技术开发 方面的支持，与多家头部银行、资管公司、券商等客户在财富管理方向开展深度合作；未来，LSEG将继续 致力于提供前沿的财富管理数字化解决方案。 Dr. Arman Sahovic 致活动开幕辞 LSEG亚太区资深金融数字化解决方案顾问Jack Wong带来主题演讲"效率跃迁：人工智能与大数据的实战应 用解析"。 他分享了AI在研究报告自动化、提案生成、视频内容生成、聊天机器人以及个性化投资建议等方 面的应用案例，详细说明了AI如何帮助研究员提升效率、拓展研究覆盖范围，并通过定制化服务为 ...

Group 1 - The 29th World Gas Conference was held in Beijing, marking the first time the event took place in China, with over 3,000 representatives from more than 70 countries and regions attending [1] - Since the integration of major oil and gas pipelines in China in 2020, natural gas transportation has exceeded 1 trillion cubic meters, with a daily peak delivery of over 1.1 billion cubic meters [1] - The National Pipeline Group showcased six core business achievements at the conference, including an open service trading platform that operates similarly to an e-commerce model, enabling quick responses to demand [1] Group 2 - The intelligent customer service system supports voice and text services, providing personalized suggestions based on user interaction history, leading to a 55% increase in downstream users to 1,300 and a nearly tenfold increase in service volume for small and medium-sized shippers [2] - The construction of national main pipelines is accelerating, while urban gas pipeline upgrades and smart enhancements are being systematically advanced [2] - In Shanghai, significant urban renewal and the upgrade of old gas pipelines are underway, utilizing advanced detection technology to improve inspection accuracy [2] Group 3 - The integration of IoT and smart sensing devices enhances the safety and efficiency of gas pipeline upgrades, with companies deploying smart monitoring networks and data-driven operational centers [3] - According to the "Implementation Plan for the Renovation of Aging Urban Gas Pipelines (2022-2025)," the goal is to complete the renovation tasks by the end of 2025 [3] - Industry experts indicate that the continuous introduction of new technologies, such as big data and artificial intelligence, is improving safety levels and operational efficiency in the gas sector [3]