" 聚焦一个核心赛道，砸足够多的资源做到极致，其他部分全靠生 态协同来补，这是 To B 平台型公司的唯一正确打法。 " 作者丨 周蕾 编辑丨 包永刚 大模型是认知和语言的技术，本质上解决的是服务环节智能化、规模化的问题。但并非所有问题都需要用 到智能体，也不都属于大模型的解决范畴——"不能为了卖这把锤子，就把所有东西都当钉子敲。" 这家已走过了十年的行业know-how积累和技术产品打磨期的公司，从最初的音视频技术与智能客服，逐 步将产品扩展至营销服、企业办公和研发生产领域，形成了一套覆盖企业前中后台的智能化产品方案工具 集。 今年12月9日，中关村科金举办"超级连接·智见未来" EVOLVE 2025 大模型与智能体产业创新峰会。在 峰会之后，我们与喻友平深入地聊了聊关于大模型与智能体的一切，以及这场技术浪潮掀起的To B变局。 如今，站在技术变革的十字路口，中关村科金的核心命题已然清晰：如何将过去十年沉淀的场景理解与产 品矩阵，与新一代AI技术深度融合，在这场行业洪流中，找到自己不可替代的生态位。 以下是雷峰网与喻友平的对话内容，雷峰网作了不改变原意的编辑： 在这场变局之中，可以用"锤子敲一下"的场景是 ...

证券日报网12月9日讯迈信林在12月8日回答调研者提问时表示，公司目前未与垂类大模型医疗类机构有 合作，子公司瑞盈智算正与盖睿科技配套智慧医疗相关软件及算力服务，针对贫困边缘地区的医疗场景 ——通过一些软件模型对通用并行医疗问题进行分析处理，该业务对算力规模存在相应需求。基于这些 需求，公司与盖睿科技开展合作：一方面提供软件开发及测试相关设施支持，另一方面参与软件编程工 作，相关模型的训练与部署将依托公司算力中心板块的算力资源推进实施。 ...

金恒科技 福加自动化 中数创和 □ 本报记者 许雯斐 通讯员 耿瑞雪 王若宇 AI浪潮汹涌，身处风口的大模型，正从技术角逐迈向抢占入口、比拼应用的新阶段。 11月26日，以"智启未来——AI赋能智造制高点"为主题的2025世界智能制造大会专场活动，在中国气象 谷举办。记者从活动现场了解到，三个根植于工业场景的垂类大模型，已在江北新区智能制造产业园破 土而出。并且，这里已培育出中数创和、金恒科技等支柱型软件企业，以及南汽、中车浦镇等领军型硬 件企业，在离散制造、流程制造、"零碳"等场景中构建出多个垂类模型，建成一批国家级、省级智能制 造示范载体。 装上"最强大脑"，一场由AI驱动的产业风暴从这里开始。 破解痛点的"工业专家" 当下，传统通用大模型已具备强大的自然语言处理能力和图像识别能力。然而，当其进入制造业，就会 因工业数据稀缺、工艺机理复杂、要求高精度决策等各类问题而寸步难行。 当AI深入产业腹地，炼成懂行、专业的"工业专家"，问题迎刃而解。 11月26日活动现场，江苏中数创和科技股份有限公司发布最新成果"中数智擎大模型"。"该大模型主要 面向轨道交通、船舶制造等高端装备制造行业，旨在破解行业长期受困的'信 ...

Core Viewpoint - The competition in the AI sector has shifted from model development to application and market entry, with companies like NetEase Youdao facing challenges in maintaining growth and profitability amidst fierce competition and changing business strategies [1][2]. Financial Performance - NetEase Youdao reported Q3 revenue of 1.63 billion RMB, a year-on-year increase of 3.6%, but the growth rate has slowed significantly compared to peers [3][5]. - The company's operating profit fell by 73.7% year-on-year to 28.3 million RMB, indicating a substantial decline in profitability [3]. - The gross profit for Q3 was 688 million RMB, down 12.9% year-on-year, with a gross margin decrease from 50.2% to 42.2% [3][5]. - The net income attributable to ordinary shareholders was only 10,000 RMB, a 99% decline year-on-year, and earnings per share were 0.08 USD, significantly below the expected 0.76 USD [3][5]. Business Segment Analysis - The learning services segment saw a revenue decline of 16.2% to 640 million RMB, while smart devices revenue dropped by 22.1% to 250 million RMB due to decreased demand [5]. - Online marketing services revenue surged by 51.1% to 740 million RMB, becoming the largest revenue source, accounting for 45.4% of total revenue [7][8]. Strategic Shift - The CEO acknowledged a strategic shift from low-return educational services to focusing on high-margin AI subscription and advertising monetization paths [6][9]. - The expansion of online marketing services is driven by AI capabilities, a shift from traditional to performance-based advertising, and opportunities in overseas markets [8]. Competitive Landscape - The rise of AI models has intensified competition, with major tech companies leveraging AI to reshape advertising systems, posing challenges for Youdao's market position [9][10]. - Youdao's AI subscription services generated nearly 100 million RMB in sales, growing over 40% year-on-year, but concerns about product reliability and competition from free services remain [11][12]. Product and Market Challenges - Youdao's hardware products, particularly AI learning devices, face stiff competition, with market share dominated by other brands [13][15]. - The company has launched new products like the AI answering pen to enhance user engagement, but overall product competitiveness remains a concern [15].

Core Viewpoint - Huali Co., Ltd. plans to acquire 51% of Beijing Zhongke Huilian Technology Co., Ltd. to accelerate its digital transformation and create new profit growth points [1][10]. Group 1: Acquisition Details - The acquisition will be executed through cash payment using self-owned or raised funds, with specific share transfer ratios to be determined upon signing the formal agreement [6]. - Huali has signed a letter of intent with existing shareholders of Zhongke Huilian, which includes multiple entities and individuals [4]. - The remaining 49% of Zhongke Huilian's shares will be considered for acquisition after the completion of the 51% stake, contingent on performance commitments for the fiscal years 2025 to 2027 [8][9]. Group 2: Financial Performance - As of the first half of 2025, Huali reported a revenue of 533.22 million yuan, a year-on-year increase of 40.05%, while the net profit attributable to shareholders decreased by 1.49% to 18.11 million yuan [11][12]. - The company aims to enhance its digital sector's technical capabilities and business scale through this acquisition, which is expected to contribute to new profit growth [10]. Group 3: Zhongke Huilian's Profile - Zhongke Huilian, established in 1999, specializes in intelligent interaction and decision-making software, with applications in various sectors including smart governance and finance [10]. - The company has developed a large model algorithm for governance, which has been officially registered with the National Internet Information Office [10].

Core Insights - The article highlights the paradox of high consumption and low returns in the AI industry, emphasizing that 95% of generative AI investment projects fail to deliver expected financial returns, with only 5% achieving commercialization [1][4] - Beijing Zhongguancun KJ Technology Co., Ltd. is positioned as a leading player in the enterprise-level AI model application market, having established a strong foothold by focusing on vertical applications rather than chasing trends [1][3][4] Market Dynamics - By mid-2025, the daily consumption of enterprise-level AI models in China is projected to reach 10.2 trillion tokens, equivalent to 46 billion 2,000-word articles, indicating a massive demand for AI solutions [1] - The article discusses the shift from a "technology showcase" era to a focus on "value realization" in AI, where deep engagement in vertical sectors is essential for successful AI integration [1][4] Company Strategy - Zhongguancun KJ's strategy began with a "reverse layout" in 2014, focusing on intelligent audio and video technology instead of mainstream computer vision, which has become a core asset for connecting businesses with customers [4] - The company has strategically chosen to concentrate on enterprise-level intelligent interaction scenarios, particularly in the smart customer service sector, which is seen as a critical entry point for large model applications [4][12] Competitive Position - In the latest IDC report, Zhongguancun KJ ranks fourth in the Chinese intelligent customer service market, leading among AI model companies [5] - The company’s approach emphasizes that the winners in the AI arms race will be those who can translate model capabilities into commercial value, rather than merely possessing the largest models [6] Implementation Framework - Zhongguancun KJ has proposed a "platform + application + service" three-tier engine strategy to accelerate the deployment of vertical AI models, addressing core issues of usability and effectiveness in enterprise applications [13][16] - The company aims to create a closed-loop system that activates enterprise data assets, integrates various AI capabilities, and continuously optimizes performance through iterative feedback [12][16] Industry Applications - The article provides examples of successful collaborations across various sectors, including finance, manufacturing, and infrastructure, showcasing how Zhongguancun KJ's AI models enhance operational efficiency and knowledge transfer [18][19][21][22] - Notable projects include a training platform for securities firms that improves training efficiency by 70% and a model for the shipbuilding industry that enhances intelligence analysis efficiency by 60% [19][21] Conclusion - The article concludes that the true value of AI lies not in the amount of computational power used but in the ability to understand and address industry-specific challenges, marking a shift from theoretical to practical applications in AI [25][26]

Core Insights - The release of the "Several Measures for Strengthening the Cultivation of Innovative Enterprises in the Digital Economy" is significant as it aims to stimulate market vitality and promote industrial upgrading in the context of high-quality economic development [1][2] - The measures focus on fostering digital economy innovative enterprises (referred to as "digital innovation enterprises") that leverage data as a key production factor and emphasize technological innovation [1][2] Group 1: Key Measures - The measures include establishing a discovery mechanism for digital innovation enterprises, enhancing multi-dimensional data support, and strengthening computing power resource supply [2][3] - A national database for cultivating digital innovation enterprises will be created, with annual selections of high-potential companies and targeted support from data management departments [2][3] - The initiative encourages local governments to establish public data authorization mechanisms and explore the issuance of "data vouchers" and "algorithm vouchers" to reduce data usage costs [2][3] Group 2: Support for Innovation - The measures advocate for the implementation of the "East Data West Computing" project to optimize computing power distribution and support digital innovation enterprises with low-cost, reliable computing services [3][4] - There is a push for enhancing original innovation capabilities by encouraging collaboration among state-owned enterprises, industry leaders, and platform companies to share resources and accelerate patent pool development [3][4] - The measures aim to create a favorable innovation ecosystem by leveraging digital industry clusters to attract various innovative resources [3][4] Group 3: Financial Support - Financial institutions are encouraged to provide diversified financial services to digital innovation enterprises based on market principles, facilitating connections between banks and these enterprises [4][5] - The measures emphasize supporting qualified digital innovation enterprises in their listing and financing efforts [4][5] - The core highlight of the measures is the multi-dimensional support system that encompasses data, computing power, innovation, and financing to foster enterprise growth [4][5]

Core Viewpoint - The National Development and Reform Commission and other departments have issued measures to support the cultivation of innovative digital economy enterprises, addressing challenges such as high data acquisition costs, financing difficulties, and market expansion issues [1][3]. Group 1: Measures for Digital Economy Enterprises - The measures propose ten targeted initiatives to promote the emergence of more "gazelle" and "unicorn" companies in the digital economy sector [1]. - Local governments are encouraged to provide support in areas such as intellectual property and R&D investment tailored to the needs of innovative digital economy enterprises [3][5]. - A mechanism for discovering and nurturing innovative digital economy enterprises will be established, with a focus on dynamic adjustments and targeted support [3][4]. Group 2: Data Utilization and Cost Reduction - The measures encourage the establishment of public data authorization and operational mechanisms to ensure sustainable supply and utilization of public data [3][4]. - Regions are encouraged to explore the issuance of "data vouchers" and "algorithm vouchers" to reduce costs associated with data utilization [4]. - Collaboration among state-owned enterprises, industry leaders, and platform companies is promoted to create data service platforms that provide accessible data products and services for innovative digital economy enterprises [4][6]. Group 3: Investment and Financing Optimization - The measures aim to enhance original innovation capabilities and support innovative digital economy enterprises through public service actions related to intellectual property [5][6]. - Financial institutions are encouraged to provide market-oriented financial services tailored to the needs of innovative digital economy enterprises, including optimizing credit evaluation models [7]. - There is a significant emphasis on supporting qualified innovative digital economy enterprises in their efforts to go public, which is expected to stimulate industry aggregation and enhance market vitality [7][8].

Core Viewpoint - The article discusses measures introduced by six government departments in China to foster the growth of innovative digital economy enterprises, aiming to accelerate their development and support their listing and financing efforts [1][2]. Group 1: Support for Digital Economy Enterprises - The measures encourage local governments to provide support in areas such as intellectual property and R&D investment for digital economy enterprises [1][4]. - A mechanism for discovering and categorizing innovative digital economy enterprises will be established, with annual selections of high-potential companies [2][4]. - The creation of a specialized selection and cultivation group involving various stakeholders is proposed to enhance the support for digital economy enterprises [2][4]. Group 2: Data Utilization and Cost Reduction - The measures promote the establishment of public data authorization and operational mechanisms to ensure sustainable supply and utilization of public data [2][3]. - Regions are encouraged to explore the issuance of "data vouchers" and "algorithm vouchers" to reduce costs associated with data usage [3][4]. - Support is provided for state-owned enterprises and industry leaders to develop data service platforms that cater to the needs of digital economy enterprises [3][4]. Group 3: Financing and Investment Optimization - The measures aim to enhance original innovation capabilities and support the transformation of results into market applications [4][5]. - Financial institutions are encouraged to provide market-oriented financial services tailored to the needs of digital economy enterprises [5][6]. - There is a focus on promoting connections between banks and investment institutions to offer diversified financial services to high-quality digital economy enterprises [5][6].

Core Viewpoint - The National Development and Reform Commission, along with other governmental bodies, has introduced measures to accelerate the cultivation of innovative digital economy enterprises, aiming to foster more "gazelle" and "unicorn" companies in the digital economy sector [1] Group 1: Support for Digital Economy Enterprises - The measures encourage local governments to provide support in areas such as intellectual property and R&D investment for digital innovation enterprises [1][4] - A mechanism for discovering innovative digital enterprises will be established, with a database to classify and monitor these companies [2] - The establishment of a specialized selection and cultivation mechanism involving various stakeholders, including government, enterprises, and investment institutions, is proposed [2] Group 2: Data Utilization and Cost Reduction - The measures promote the issuance of "data vouchers" and "algorithm vouchers" to reduce costs associated with data usage [3] - State-owned enterprises and industry leaders are encouraged to create data service platforms that provide accessible data products and services to digital innovation enterprises [3] Group 3: Financing and Investment Optimization - The measures aim to enhance original innovation capabilities and support digital innovation enterprises through public service actions related to intellectual property [4] - Financial institutions are encouraged to provide market-oriented financial services tailored to the needs of digital innovation enterprises [5] - There is a push for improved credit evaluation systems and risk assessment mechanisms to better support financing for digital innovation enterprises [5]