每经AI快讯，有投资者在投资者互动平台提问：董秘您好，公司智能体开发平台能否接入智谱华章大 模型？有无相关合作？ 普联软件（300996.SZ）1月12日在投资者互动平台表示，尊敬的投资者您好，公司的智能体开发平台支 持接入智谱华章开源大模型，如GLM-4系列模型，目前暂无相关合作。谢谢您对公司的关注。 （文章来源：每日经济新闻） ...

据交易所数据显示， 国新健康连续两个交易日涨停，晋级2连板。该股今日于9时25分封涨停，成交额 0.80亿元，换手率0.71%。金融界App AI线索挖掘：近期国家医保局启动个人医保云建设试点，推动 人 工智能等新技术应用。国新健康在数字医保领域有深入布局，为地方医保局部署了全流程本地化智能应 用平台，同时拥有智能体开发平台，相关业务方向与医保信息化智能化的行业趋势相契合。 风险提 示：连板股波动剧烈，注意追高风险，理性投资！（注：以上由AI基于交易所等公开数据生成，内容 不构成投资建议。） ...

21世纪经济报道记者冉黎黎 北京报道 1月7日，中国互联网协会在北京召开2026（第十六届）中国互联网产业年会。 工业和信息化部信息通信管理局副局长谌凯在会上表示，建议推动智能终端"万物智联"，培育智能产品生态，大力发展智能网 联汽车、人工智能手机和电脑等新一代智能终端，探索推进智能体互联网建设，打造一体化全场景覆盖的智能交互环境。 谌凯表示，互联网是现代化建设全局中的基础性、先导性、战略性行业，要适应形势变化，把握战略重点，抢抓人工智能发展 浪潮。 会上，裴玮发布了"2025年影响中国互联网行业发展的十件大事"。其中提到，2025年，国产智能体产品形态逐步丰富完善，赋 能多领域精准破局。在通用智能体方面，面向网质交互、信息挖掘等通用任务，通用智能体产品可以获得比单一模型更好的性 能表现；在专用智能体方面，专用智能体通过强化专业适配能力，在工业制造、财务金融、医疗健康等领域实现落地应用；在 智能体平台方面，头部AI企业纷纷推出智能体开发平台，有效降低智能体研发和应用门槛。此外，"智能体互联网"在架构、关 键技术等方面逐渐明晰。 三是深入实施"人工智能+"行动，深化人工智能与工业互联网的融合应用，培育覆盖更广、 ...

Core Viewpoint - SenseTime Medical has recently completed a new round of financing and officially launched its new brand identity "Bamboo Dragonfly," highlighting the integration of AI and healthcare as a promising yet challenging frontier [1] Group 1: Company Overview - SenseTime Medical was established in 2022 and currently has a post-investment valuation exceeding 3 billion yuan [1] Group 2: Challenges in AI Healthcare - Trust and data are identified as the two major bottlenecks in AI healthcare, with many doctors remaining skeptical due to model "hallucinations" [1] - The complexity of disease types in China, including many rare and niche diseases, results in a lack of high-quality training data [1] Group 3: Solutions and Strategies - To build trust, SenseTime employs "evidence tracing" by referencing authoritative sources and utilizes multimodal and pathological large models to cover long-tail diseases with less data and faster speed [1] - The commercial model is another core bottleneck, as hospitals may lack the budget and willingness to pay for technology [1] - SenseTime's platform strategy encapsulates technology into a "model production platform" and "intelligent agent development platform," enabling hospitals to incubate AI applications based on their own data and expert experience, transforming AI from a cost into a self-operating asset [1]

Group 1: Core Insights - The "Internet Light" Expo showcased over 600 companies and more than 1,000 technology products, highlighting the rapid integration of AI and digital technologies into daily life [1][3] - Smart retail solutions, such as automated coffee machines, are being developed to enhance consumer convenience and service density in areas traditionally underserved by convenience stores [3][5] - The market for smart wearable devices, particularly smart glasses, is experiencing accelerated growth, with significant sales achieved shortly after product launch [3][5] Group 2: Industry Transformation - AI technologies are driving significant changes across various industries, with innovations like industrial AI twin platforms enabling real-time simulations and training for robots [6][7] - The demand for personalized transformation in industries is leading to the development of low-code platforms that can produce tailored intelligent agents for specific applications [7][9] - The release of advanced computing infrastructure, such as the scaleX640 super node, is addressing the computational bottlenecks that hinder the widespread adoption of AI technologies [9] Group 3: Future Outlook - The integration of AI into consumer products and traditional industries is expected to reshape lifestyles and industry structures, paving the way for a more intelligent and efficient future [9][10]

Core Insights - The "Digital Intelligence Finance: New Quality Ecology" 2025 Fund Insurance Industry Summit was successfully held in Lanzhou, hosted by Hang Seng Electronics, gathering over a hundred industry leaders, experts, scholars, fund insurance institutions, and technology ecosystem partners to discuss industry transformation and technological integration [1] Company Highlights - Baoland, a leading provider of basic software and financial technology solutions in China, was invited to participate in the summit and showcased its technological achievements and innovative practices in the financial sector, particularly in fund insurance [1] - Baoland presented its innovative AI middleware solutions and intelligent agent development platform aimed at facilitating the digital transformation of the fund insurance industry through artificial intelligence technology [1] Technological Innovations - The intelligent operation and maintenance platform developed by Baoland utilizes machine learning algorithms for anomaly detection and root cause analysis, enabling early warning of potential risks [1] - A major financial institution reported a 75% reduction in system fault troubleshooting time and achieved over 90% automation coverage in operations after implementing Baoland's solutions [1]

Core Viewpoint - Ant Group's subsidiary, Ant Digital, aims to differentiate itself in the market by focusing on enterprise-level AI services and Web3 solutions, leveraging its extensive technological capabilities and industry experience to create value for businesses [4][11]. Group 1: Company Overview - Ant Digital officially became independent in March 2024 and has shown promising results, achieving breakeven last year and projecting a 50% revenue growth this year [4]. - The company has a strong foundation in toB services, benefiting from years of experience within Ant Group, which has a transaction volume exceeding one trillion [4][5]. - Ant Digital's CEO, Zhao Wenbiao, emphasizes the importance of AI and Web3 as transformative opportunities, comparable to the impact of mobile payments [4][6]. Group 2: AI Strategy - Ant Digital focuses on "application landing" rather than competing in foundational large models, offering a full-stack AI service that includes intelligent computing power scheduling, industry-specific large models, and intelligent agent development platforms [4][5]. - The company has introduced a performance-based payment model, allowing businesses to pay based on the actual business effects generated by AI, marking a significant shift from traditional project-based or subscription models [5][6]. - Zhao believes that the current AI landscape is filled with projects that address isolated issues, resulting in limited business value, and highlights Ant Digital's ability to provide end-to-end solutions [5][6]. Group 3: Web3 Focus - Ant Digital views Real World Assets (RWA) as a key breakthrough in the Web3 space, having completed its first RWA transaction in Hong Kong and expanding into various asset categories [6][8]. - The company has developed a comprehensive technical infrastructure for asset security, trustworthy on-chain processes, cross-chain circulation, and issuance, which lowers industry barriers and accelerates scalability [6][8]. - Ant Digital has over 6,000 blockchain patents and aims to leverage its blockchain technology to create a robust ecosystem, anticipating significant industry growth [6][8]. Group 4: Market Positioning - Ant Digital distinguishes itself from other fintech companies by focusing solely on technology services for enterprise digitalization, rather than providing financial services [10][11]. - The company has established a strong presence in the financial sector, serving 100% of state-owned banks and over 60% of local commercial banks, while also expanding into the renewable energy sector [13][19]. - Zhao emphasizes the importance of technology innovation, value creation for industries, and a cautious approach to innovation, avoiding speculative ventures that do not generate real value [12][14]. Group 5: Future Outlook - Ant Digital is positioned for significant growth in the next three to five years, with a focus on long-term investment in the enterprise service market [29]. - The company aims to redefine industry standards and practices in both AI and Web3, seeking to lead rather than follow in these transformative areas [6][21]. - Zhao expresses a commitment to becoming a respected technology company that drives industry advancement, with a focus on creating competitive products and services [26][29].

Group 1 - The company held its ninth meeting of the fourth board of directors on August 27, 2025, where all five directors attended and the meeting complied with relevant laws and regulations [3][4][6] - The board approved several key proposals, including the 2025 semi-annual report and its summary, the special report on the use of raised funds, and the semi-annual evaluation report of the "Quality Improvement and Efficiency Enhancement" action plan [4][7][9][15] - The board also decided to cancel the terminated "2023 Employee Stock Ownership Plan" and proposed to hold the second extraordinary general meeting of 2025 on September 17, 2025 [11][21][44] Group 2 - The company raised a total of RMB 793 million from its initial public offering, with a net amount of RMB 710 million after deducting issuance costs [24] - As of June 30, 2025, the company had invested RMB 221.67 million in fundraising projects, with a remaining balance of RMB 43.79 million in the special account for raised funds [25][26] - The company has implemented a structured upgrade of its R&D investment, focusing on key technology areas such as AI computing platforms and intelligent operations [66][67] Group 3 - The company has emphasized the importance of optimizing operational management, resulting in a 12.28% decrease in sales expenses and a 51.50% decrease in management expenses in the first half of 2025 [73] - The company has established a mechanism for performance evaluation and talent development, enhancing the skills of its R&D personnel [69][70] - The company has revised its internal governance structure and strengthened compliance operations, including updates to its articles of association and various internal management systems [78][79]

Core Insights - Tencent's core theme for this year is "making 'usable AI' a universal productivity tool" [1] - The company has introduced five major AI productivity platforms: intelligent agent development platform, embodied intelligence open platform Tairos, AIGC content generation platform, edge large model platform, and AI education platform [1] - Several technologies are making their debut, including the latest video call feature of Tencent's Yuanbao, which offers lower latency, more human-like interactions, and emotional engagement [1] Technology Applications - The Yuanbao video call feature is designed to assist elderly and visually impaired individuals, allowing them to ask questions anytime and anywhere [1] - Tencent's latest mixed Yuan model matrix encompasses capabilities for generating and understanding various modalities, including text, sound, images, video, and 3D [1] - The mixed 3D AI creation engine is the industry's first one-stop, low-threshold AI creation tool for 3D content production, significantly enhancing the efficiency of 3D content creation [1]

Group 1 - The core viewpoint emphasizes the transformation of data assets and the need for effective governance and value conversion in various industries [1][2][3] - The "Data Element × Three-Year Action Plan (2024-2026)" aims to optimize resource allocation and empower the real economy through data utilization, highlighting its significance for high-quality development [1][3] - The increasing importance of data as a core production factor necessitates a focus on governance and value conversion, with data governance being a key link for realizing data value enhancement [1][2] Group 2 - The marketization of data elements is advancing, with nearly 500 central enterprises establishing digital technology companies and about 66% of industry leaders purchasing data, indicating a growing enthusiasm for data utilization [3][4] - The "2025 Digital Economy Work Points" emphasizes accelerating the release of data element value and promoting the integration and sharing of data resources [3] - The ultimate goal of data element marketization is to achieve value through innovative applications by enterprises, which is crucial for unlocking the potential of data elements [3][5] Group 3 - Technology companies are innovating solutions and platforms to enhance the integration of data elements with business scenarios, as seen with Shenzhou Information's "Smart Brain" solution and Tencent Cloud's intelligent agent development platform [4][5] - The financial industry is embracing a collaborative model of software development involving both human modelers and AI programmers, aiming to break traditional departmental silos and enhance efficiency [5] - The shift from a product-oriented mindset to a service ecosystem in the financial sector is essential for improving funding circulation and fostering collaboration within the industry [5]