"十五五"规划建议提出，要推动科技创新和产业创新深度融合。李剑锋表示，南京证券通过精准锚定科 技与文化的协同逻辑，创新性提出"科创文化"建设思路，以"科技引领、文化铸魂"为核心理念，从组织 建设、产学研融合、业技融合三个维度持续发力，推动科技与文化深度融合，助力证券行业高质量发 展，服务金融强国建设大局。 战略构建：明势知变锚定融合方向 "在中国经济迈向高质量发展的新阶段，文化强国战略纵深推进，资本市场作为国民经济的'晴雨 表'和'助推器'，正肩负着'科技赋能'与'文化铸魂'的双重时代使命。"南京证券党委书记、董事长李剑锋 日前在接受中国证券报记者专访时表示。 当前，金融科技正深刻重塑证券行业竞争格局与发展生态。"我们深刻感受到行业正在经历一场双向变 革：人工智能、大数据、区块链等新一代信息技术加速渗透，从交易系统到客户服务，从风险管理到运 营效率，科技已成为券商生存发展的基础设施。"李剑锋表示。 与此同时，随着文化强国建设加快推进，证券行业"五要五不"的中国特色金融文化理念深入人心，文化 从口号式宣传转变为驱动业务发展、凝聚团队合力的内在引擎。"我们认识到，单纯技术投入易陷入'重 基建、轻生态'误区，脱离科 ...

"在中国经济迈向高质量发展的新阶段，文化强国战略纵深推进，资本市场作为国民经济的'晴雨 表'和'助推器'，正肩负着'科技赋能'与'文化铸魂'的双重时代使命。"南京证券（601990）党委书记、董 事长李剑锋日前在接受中国证券报记者专访时表示。 "十五五"规划建议提出，要推动科技创新和产业创新深度融合。李剑锋表示，南京证券通过精准锚定科 技与文化的协同逻辑，创新性提出"科创文化"建设思路，以"科技引领、文化铸魂"为核心理念，从组织 建设、产学研融合、业技融合三个维度持续发力，推动科技与文化深度融合，助力证券行业高质量发 展，服务金融强国建设大局。 ● 本报记者 徐昭 马爽 战略构建： 明势知变锚定融合方向 当前，金融科技正深刻重塑证券行业竞争格局与发展生态。"我们深刻感受到行业正在经历一场双向变 革：人工智能、大数据、区块链等新一代信息技术加速渗透，从交易系统到客户服务，从风险管理到运 营效率，科技已成为券商生存发展的基础设施。"李剑锋表示。 与此同时，随着文化强国建设加快推进，证券行业"五要五不"的中国特色金融文化理念深入人心，文化 从口号式宣传转变为驱动业务发展、凝聚团队合力的内在引擎。"我们认识到，单纯技 ...

"在中国经济迈向高质量发展的新阶段，文化强国战略纵深推进，资本市场作为国民经济的'晴雨 表'和'助推器'，正肩负着'科技赋能'与'文化铸魂'的双重时代使命。"南京证券党委书记、董事长李剑锋 日前在接受中国证券报记者专访时表示。 "十五五"规划建议提出，要推动科技创新和产业创新深度融合。李剑锋表示，南京证券通过精准锚定科 技与文化的协同逻辑，创新性提出"科创文化"建设思路，以"科技引领、文化铸魂"为核心理念，从组织 建设、产学研融合、业技融合三个维度持续发力，推动科技与文化深度融合，助力证券行业高质量发 展，服务金融强国建设大局。 ● 本报记者 徐昭 马爽 战略构建： 明势知变锚定融合方向 当前，金融科技正深刻重塑证券行业竞争格局与发展生态。"我们深刻感受到行业正在经历一场双向变 革：人工智能、大数据、区块链等新一代信息技术加速渗透，从交易系统到客户服务，从风险管理到运 营效率，科技已成为券商生存发展的基础设施。"李剑锋表示。 与此同时，随着文化强国建设加快推进，证券行业"五要五不"的中国特色金融文化理念深入人心，文化 从口号式宣传转变为驱动业务发展、凝聚团队合力的内在引擎。"我们认识到，单纯技术投入易陷入'重 ...

本报记者 王宁 在当前的期货市场中，一系列现实挑战待解：面对海量数据冲击，投研人员能否在几分钟内完成对上百条新闻资讯的解 析，并迅速做出投资判断？当夜盘迎来突发行情，数百位投资者集中发起咨询，客服能否高效响应？当千亿元级市值的上市公 司和个体种植户均提出风险管理服务诉求时，期货公司能否"一碗水端平"…… 近日，《证券日报》记者走访调查发现，人工智能（AI）技术正成为应对上述挑战的核心力量，深度融入期货公司投资研 究、客户服务、风险管理等关键环节——在投研领域实现信息与策略智能生成，在客户服务端全天候高效响应，在风控中提供 精准的套期保值方案…… 可以看到，类似于胖东来商业模式通过对传统商超实施系统性改造、激发传统商超的发展动能，AI技术也正以颠覆性力 量"调改"期货行业，推动其从传统"人工经验主导"向"数据智能驱动"转型。这场"调改"，不仅重塑了期货公司的业务运营方式 与风险管理机制，更深层次地重构了行业的价值内核，为行业高质量发展注入新动能。 AI上岗： 投研迎来"新大脑" 戴月（化名）是一位拥有近二十年期货交易经验的"老兵"，他向《证券日报》记者讲述了去年年底一次令人印象深刻的交 易经历。 "2024年1 ...

Core Insights - The 23rd Guangzhou International Auto Show will take place from November 21 to 30, 2025, at the China Import and Export Fair Complex, showcasing a strong focus on electrification and intelligence in new vehicles [2] - A total of 93 new vehicles will make their debut, with 1,085 vehicles on display, including 629 new energy vehicles [2] - The exhibition area will cover 220,000 square meters, utilizing both indoor and outdoor spaces of the fair complex [2] Event Details - The event will feature a media day on November 20, followed by professional visitor days on November 21-22, with tickets priced at 100 yuan, and public days from November 23-30, with tickets at 50 yuan [5][6][7] - The exhibition will host multiple automotive industry forums, including the "2025 Guangzhou Automotive Development Summit Forum" and the "2025 Automotive Electronics Innovation Technology and Autonomous Driving International Forum" [3] Industry Trends - The show will highlight significant growth in exhibitors, with an 81% increase in the number of exhibitors focusing on electric motors, control systems, charging, autonomous driving, and smart cabins [3] - The introduction of an intelligent customer service system and a panoramic security system reflects the integration of advanced technologies in the event [4] - The event is positioned as a key indicator of the development of the Chinese automotive market, showcasing the industry's transition from following to leading in technology [4]

Core Insights - The company, Jiwei Technology, is leveraging a "technology + service" dual-driven model to create a complete closed loop from system development to business implementation, showcasing innovation in the digital economy era [1] - Jiwei Technology focuses on the research and development of cutting-edge technologies such as artificial intelligence and big data, establishing a self-controllable technological foundation through continuous investment [1] - The modular system architecture allows for reusable and scalable technology platforms, providing a solid foundation for various services [1] Business Operations - On the merchant side, the platform utilizes data analysis to help businesses accurately grasp market demands and optimize operational strategies [1] - On the consumer side, intelligent customer service systems and comprehensive user feedback mechanisms ensure that the conveniences brought by technology benefit every consumer [1] - The transformation of technological capabilities into actual value reflects the essential warmth of technology services [1] Innovation and Feedback Loop - Technological innovation provides ongoing momentum for service upgrades, while user feedback and data insights from service practices guide technological optimization [1] - This virtuous cycle enables Jiwei Technology to continuously evolve, maintaining technological foresight while ensuring service practicality [1] - The digital operation system supports a close synergy between technology and services [1] Future Outlook - Looking ahead, Jiwei Technology plans to deepen its "technology + service" dual-driven model, focusing on continuous technological innovation and service optimization to create more value for consumers while assisting merchants [2] - The company will adhere to the philosophy of technology serving humanity, ensuring that technological innovation truly empowers a better life [2]

Group 1 - The core viewpoint of the article is that Shenyang Water Group has partnered with Tencent, Huawei, and Baidu to launch digital products, marking its transition from a technology user to a provider of smart water solutions [1][2] - The five systems being launched on the cloud platforms include a comprehensive business management system, a secondary water supply management system, an intelligent customer service system, an AI water meter image recognition system, and a quality traceability system [1] - The comprehensive business management system integrates AI, IoT, and big data technologies to enhance data value extraction, marketing management, operational efficiency, and decision-making accuracy [1] Group 2 - The secondary water supply management system focuses on the digital management of pump stations and pipelines throughout their lifecycle, improving efficiency in evaluating old community renovations and leak management through real-time monitoring and AI analysis [1] - The AI water meter image recognition system automates the reading of water meter data, achieving stable recognition rates based on training from 650,000 high-quality labeled images [1] - By sharing mature digital tools, the company aims to help industry partners avoid redundant investments and high costs associated with technological trial and error, thereby breaking down information barriers [2]

Group 1: Company Performance Overview - In Q3 2025, the company achieved a GMV growth of approximately 14.86% year-on-year [2] - The net profit attributable to shareholders reached 30.50 million CNY, a year-on-year increase of 26.97% [3] - The net profit excluding non-recurring gains and losses grew by 43.66% year-on-year [3] Group 2: AI System Development - The company is advancing its AI systems, with four core systems in various stages of commercialization [3] - The "Cloud Insight System" and "Master-Student Image System" have achieved commercial application, enhancing click-through and conversion rates [5] - The "Data Investment System" and "Intelligent Customer Service System" are currently being refined for optimization [5] Group 3: Business Model and Strategy - The company is focusing on a light-asset operation model, reducing distribution business while enhancing brand management and content e-commerce services [4] - Revenue from online brand management services increased by 28.8%, while content e-commerce service revenue grew by 6.2% [4] - The gross margins for online brand management and content e-commerce services rose by 9.04% and 10.65%, respectively [4] Group 4: Future Growth and AI Integration - The company plans to leverage AI for cost reduction and efficiency improvement, activating existing business profitability [5] - Future growth will focus on expanding vertical brands and increasing customer numbers through AI capabilities [5] - The company aims to achieve its AIGS vision by developing a SaaS service model in the long term [5] Group 5: Investor Engagement and Feedback - Investors inquired about the progress of core AI products, with responses indicating varying stages of commercialization [5] - The company emphasized that revenue growth will primarily come from acquiring new clients rather than increasing budgets from existing clients [10] - AI technology is expected to enhance operational efficiency and profit margins, contributing to a stable gross margin in the light-asset model [9]

Core Viewpoint - The bank is undergoing a significant upgrade of its outdated intelligent customer service system in collaboration with Ronglian Cloud, aiming to enhance service availability and operational efficiency while ensuring zero business interruption during the transition [1][3][4]. Group 1: System Upgrade Challenges - The existing customer service system has shown signs of aging, including reliance on outdated technology, operational difficulties, and insufficient stability [1]. - The upgrade project involves a complete overhaul of the system architecture and AI capabilities, transitioning from a "usable" to a "highly available" system [3][4]. Group 2: Key Tasks in the Upgrade - Ronglian Cloud successfully managed the transition from the original vendor, which had a closed technology and lacked documentation, by quickly familiarizing itself with the system logic and establishing a sustainable maintenance framework [4]. - The project ensured a smooth replacement of the old system with the new one while maintaining zero business interruption, avoiding common risks such as service disruptions and data inconsistencies [4]. - A comprehensive migration of accumulated business knowledge, unique Q&A, and operational logic from the old system to the new one was achieved, ensuring no loss of business logic [4]. Group 3: Dual-Active Architecture - The new system features a dual-active architecture that allows for multi-center parallel deployment, real-time data synchronization, and rapid fault switching, ensuring high availability [5]. Group 4: Intelligent Upgrade - The new AI customer service platform is designed to understand business needs and enhance operational efficiency [6]. - The upgrade includes advanced semantic understanding capabilities, enabling multi-turn conversations and context comprehension, thus providing a more natural interaction experience [8]. - The system has been tailored to recognize local dialects and non-standard financial terminology, improving its ability to understand personalized inquiries [8]. Group 5: Knowledge Management - The new system implements a full-process management of FAQ knowledge, resulting in over 50% improvement in operational efficiency [9]. - It features intelligent learning optimization, which enhances recognition accuracy through automatic generalization of similar queries and synonym management [9]. - Knowledge is categorized by consultation channels (APP, WeChat, phone) to ensure precise service content matching [9]. Group 6: Operational Management - The system includes intelligent tagging for unrecognized issues, allowing for quick model optimization [12]. - It provides multi-dimensional analysis of customer traffic, trending issues, and robot satisfaction, supporting business decision-making [12]. - Complete chat logs are retained for problem tracing and service process optimization [12]. Group 7: Robust Maintenance - A full lifecycle maintenance service has been established to ensure long-term system stability and evolution, addressing the shortcomings of the original vendor [13][14]. - The new maintenance framework includes 24/7 online support, rapid response, and business collaboration mechanisms [14]. - Fault resolution time has been significantly reduced to under 2 hours, with a complete operational log aiding in quick diagnostics [16]. Group 8: Future Outlook - The successful upgrade of the intelligent customer service system is a critical milestone in the bank's digital transformation, laying a foundation for future advancements [18]. - The revamped system aims to provide a more personalized and efficient financial service experience, enhancing the bank's role in promoting inclusive finance [18].

Core Viewpoint - The article emphasizes that the successful implementation of AI in companies faces significant resistance from various stakeholders, primarily due to fear of job loss and disruption of established power dynamics. The key to overcoming these challenges lies in addressing human factors rather than just focusing on technology [1][22]. Group 1: Resistance from Stakeholders - The first layer of resistance comes from "vested interests" who perceive AI as a threat to their jobs and power, often sabotaging AI initiatives to protect their positions [5][10]. - Employees often resist AI due to "survival anxiety," fearing job loss and the unknown implications of AI on their roles, which can lead to passive resistance or even active sabotage [12][13]. - Decision-makers often exhibit a "passing the buck" mentality, delegating AI initiatives to lower-level managers without personal involvement, which can lead to project failures [14][19]. Group 2: Strategies to Overcome Resistance - To break the resistance of vested interests, companies should implement "benefit restructuring," ensuring that those affected by AI transitions see tangible benefits from the changes [23][25]. - Providing "survival guarantees" to frontline employees is crucial, including commitments against layoffs, training programs for new roles, and income protection during the transition [26][27]. - Leadership must take charge of AI transformation by establishing an "AI transformation command center," with top executives directly overseeing the initiative to ensure accountability and resource allocation [28][30]. Group 3: Historical Context and Future Outlook - The article draws parallels between historical technological shifts, such as the advent of the automobile, and the current AI revolution, highlighting that adaptation is essential for survival in changing landscapes [32][34]. - Companies that recognize the inevitability of AI and actively work to mitigate resistance will thrive, while those that ignore these dynamics risk being left behind [33][34].