如今，"数据+AI"技术正催生认知时代的新可能。企业可通过深层数据洞察构建稳定、统一的集体认知，使高质量决策成为可持续动能。 企业认知分可为三层进阶：信息层是识别表象，洞察层是理解动因，认知层是决策判断，三层是递进关系，完成这三层进阶，标志着企业从信息驱动、洞察 驱动最终迈入认知驱动的高级阶段。 火山引擎推出的Data Agent产品正是在第三层"认知层"发力的典型代表。它通过打通结构化与非结构化数据壁垒，实现自然语言交互下的全面数据洞察;将各 平台能力原子化供大模型灵活调度，消除系统孤岛;沉淀行业专家经验，使工具具备开箱即用的分析与营销能力，完成人机协作进化。其智能分析Agent可自 动生成深度洞察结论，而"一客一策"引擎能基于多维度数据构建立体客户画像，输出精准营销策略。 当数据经由Data Agent转化为认知，其变革性价值已经得到大量客户实践的验证。某品牌借助火山引擎Data Agent，数小时生成精准营销方案，效率提升数 倍;某SaaS企业通过"一客一策"构建客户立体画像，实现高价值客户优先触达与千人千面推荐后，线索转化率提升2倍以上。 在近日举办的火山引擎AI创新巡展中，火山引擎数智平台解决方案总 ...

Core Viewpoint - Dongxing Securities has launched the 2025 "Quality Improvement and Efficiency Enhancement" action plan, aiming for higher quality, efficiency, and sustainable development while enhancing investor satisfaction and rights protection [1][3] Group 1: Business Strategy - The company emphasizes its commitment to "serving the country through finance" and focuses on customer-centric and research-driven approaches to optimize its business structure and strengthen core business advantages [1] - In 2024, Dongxing Securities achieved a net profit attributable to shareholders of 1.544 billion yuan, an increase of 88.39% year-on-year, with a significant improvement in return on equity [1] - The company plans to leverage the synergy of its integrated financial service platform, which includes investment research, investment banking, asset management, and wealth management [1] Group 2: Shareholder Returns - Since its listing in 2015, Dongxing Securities has prioritized shareholder returns, with cumulative cash dividends reaching 4.81 billion yuan (including tax) and a dividend payout ratio exceeding 30% for nine consecutive years [2] - In 2024, the company implemented a mid-term dividend totaling 465 million yuan (including tax), representing 30.14% of the annual net profit attributable to shareholders [2] - For 2025, Dongxing Securities plans to enhance its dividend mechanism, increasing frequency and transparency, with a proposed cash dividend of 0.76 yuan (including tax) per 10 shares [2] Group 3: National Strategy Support - Dongxing Securities is actively implementing the financial "Five Major Articles" to support national strategies, including technology finance, green finance, inclusive finance, pension finance, and digital finance [2] - In 2024, the company underwrote technology innovation bonds worth 4.714 billion yuan and supported innovation enterprises in AI and new energy sectors through equity investments [2] - The company successfully issued the country's first dual-originator green ABS with a scale of 400 million yuan and has engaged in various projects to enhance financial inclusivity and pension strategies [2]

Group 1 - The core viewpoint of the article highlights the strong performance of Fabon Information Technology Co., Ltd. in the financial technology sector, with a significant revenue increase driven by its banking business [1][2] - In the first half of 2025, the company achieved a revenue of 2.315 billion yuan, representing a year-on-year growth of 10.95% [1] - The financial technology segment generated a revenue of 733 million yuan, showing a remarkable growth of 21.36% [1] Group 2 - The banking business revenue growth reached 51.38% in the first half of 2025, with a customer coverage rate of 94% among major state-owned banks and national joint-stock commercial banks [1] - The company has developed a product capability system centered around "FADOs," leveraging data and AI to create systematic products and services tailored to the financial industry [1] - Fabon Information aims to continue focusing on the financial sector and enhancing its digital banking solutions, with plans to expand into blockchain financial applications and innovate in cross-border payment and trade settlement [2]

Core Insights - The advertising industry is undergoing significant transformation due to digitization, with data-driven decision-making replacing traditional experience-led marketing approaches [2][3] - There is a notable imbalance in the advertising ecosystem, where platforms like Douyin and Xiaohongshu hold significant advantages in data and automation, while advertisers and marketing service providers lag behind [6][19] - The integration of AI into digital marketing is essential for overcoming current challenges and achieving a shift towards intelligent and precise marketing models [7][24] Industry Trends - The Chinese advertising market reached a revenue of 13,120.7 billion yuan in 2023, with digital marketing accounting for approximately 80% of this market [8][9] - Content marketing is a growing segment, with a market size of 4,000 billion yuan, and AIGC content marketing is projected to grow from 5 billion yuan in 2023 to 1000 billion yuan by 2030 [8][9] - Despite the large scale of the digital marketing market, overall growth rates have slowed, while content marketing continues to show strong growth [8][9] Digital Infrastructure - Leading platforms have established robust digital infrastructures, leveraging vast data resources and advanced algorithms to create efficient marketing ecosystems [15][18] - In contrast, many smaller agencies and brands struggle with digital transformation due to limited technical capabilities and reliance on traditional marketing methods [20][21] - The disparity in digital capabilities between leading platforms and smaller players highlights the need for enhanced digital infrastructure across the industry [19][22] AI Application in Advertising - AI is gradually expanding its influence in the advertising sector, primarily in data analysis, targeted advertising, and personalized marketing [23][24] - Current AI applications are often limited to specific tasks within the marketing process, lacking comprehensive integration across all stages [23][24] - There is significant potential for AI to enhance productivity and efficiency in digital marketing, necessitating exploration of its deeper integration [24] Proposed Solutions - The paper advocates for a new marketing paradigm that combines "data + AI" to empower all aspects of digital marketing [24][25] - Establishing a solid digital infrastructure is crucial for providing the necessary data for AI models to function effectively [27][28] - A unified "technology-product-business" framework is essential for supporting digital marketing processes, ensuring flexibility and adaptability to various business scenarios [29][30] Value of "Data + AI" Integration - The integration of "data + AI" offers new resources and productivity for brand marketing, enhancing the efficiency of resource allocation and decision-making [44][45] - This model allows brands to meet diverse consumer needs through personalized marketing strategies, improving customer satisfaction and loyalty [46] - The approach also mitigates systemic risks associated with high employee turnover in the advertising industry by digitizing and analyzing project experiences and client data [47]