本文列举了十个日常生活中高度依赖人工智能 (AI) 来取得成功并保持竞争力的领域。当然，仅仅列举十个例子只是人工智 能应用普及程度的冰山一角。不过，在本文篇幅所限的情况下，我们选择的案例都与我们自身的经验以及人工智能的流行 应用密切相关。 | Healthcare & Medicine Analysis of Medical Images | Education Personalized Learning | | --- | --- | | Business & Finance Fraud Detection | Entertainment Content Video Creation | | Transports Traffic Prediction Self-driving Cars | Security & Defense Facial Recognition | | Manufacturing Anomaly Detection of High Voltage Lines | Consumer Tech Personal Productivity & Virtual Assistants | | Re ...

以下文章来源于科创板日报 ，作者田野 黄心怡 科创板日报 . 专注科创板和科技创新，上海报业集团主管主办，界面财联社出品。 聚焦AI赋能实体，发掘千行百业智能标杆。 2025年，人工智能已从技术探索迈入规模化应用落地开花，"AI+应用"不再是前沿概念的代名词，而是扎根工业制造、金融决策、校园课 堂、医疗健康、文化旅游等千行百业的务实实践，以精准赋能重构行业效率、优化民生体验，成为激活新质生产力的新路径。 为全景展现国内AI技术落地的实战成果，提炼可复制、可推广的行业赋能经验，推动AI与实体经济深度融合，上海报业集团主管主办财联社 与《科创板日报》，正式启动"2025中国AI+应用Top50"优秀案例征集活动，面向全国工业、金融、教育、医疗、文旅等行业领域，评选 50个兼具实效价值与示范意义的优秀AI+应用产品及服务。 联合主办: 聚焦AI赋能实体 发掘千行百业智能标杆 2025中国AI+应用TOP50 优秀案例评选 征集时间： 2025.12.16-2026.1.16 「活动背景 2025年，人工智能已从技术探索迈入规模化应用 落地开花，"Al+应用"不再是前沿概念的代名词, 而是扎根工业制造、金融服务、校园 ...

Core Insights - China Spring Education Group (01969) is advancing its integration of technology and education through a dual donation model involving AI and blockchain technology rights from its chairman, Mr. Hou Chunlai, along with profits from a US data center [1] Technology Integration - The donated AI computing power and blockchain technology will empower the group's ongoing AI education strategy, including the deployment of the DeepSeek R1 model for educational platforms, virtual classrooms, and personalized learning systems [1] - This initiative opens a clear path for deep integration of technology into the core educational business [1] Financial Implications - Profits generated from the data center will provide stable additional funding for the group, which can be directed towards long-term projects such as smart campus upgrades and AI course development [1] - The model aims to create a positive development loop where technology enhances educational experiences and profits reinvest in research and innovation [1] Future Outlook - While this initiative presents opportunities, it also introduces management challenges, including the need to effectively integrate overseas technology resources and address potential impacts of cryptocurrency market volatility on profits [1] - Investors are encouraged to monitor future financial reports for specific disclosures on technology implementation and profit utilization to assess the long-term value of this model [1]

Core Viewpoint - China Spring Education Group (01969) is advancing its integration of technology and education through a dual donation model involving AI and blockchain technology from its U.S. data center, which will also generate profits for the group [1] Group 1: Technology Integration - The donated AI computing power and blockchain technology will empower the group's ongoing AI education strategy, including the deployment of the DeepSeek R1 model for educational platforms [1] - Innovations such as virtual classrooms and personalized learning systems are part of the group's technological advancements [1] Group 2: Financial Implications - Profits generated from the data center will provide stable additional funding for the group, specifically for smart campus upgrades and AI course development [1] - This creates a positive development loop where technology enhances educational experiences while profits reinvest in research and innovation [1] Group 3: Future Outlook - The initiative opens up new possibilities but also presents management challenges, such as effectively integrating overseas technology resources [1] - The group must address potential impacts from cryptocurrency market fluctuations on its revenue [1] - Investors are encouraged to monitor future financial reports for specific disclosures on technology implementation and profit utilization to assess the long-term value of this model [1]

Core Viewpoint - The Chinese AI agent industry has established a "SaaS-MaaS-RaaS" tripartite business model, driven by technology, policy, and ecosystem factors, accelerating the commercialization of a trillion-level market through regional differentiated competition [1]. Business Model Summary - The AI agent industry in China can be categorized into three main models based on service form, deployment method, and application scenario: - **SaaS Model**: Dominates the market with a 30% share, driven by the demand for standardized intelligent tools. It operates on a subscription basis, focusing on efficiency improvement through basic subscription fees and value-added services [3][12]. - **MaaS Model**: Fastest growth at 15%, reflecting the acceleration of model-as-a-service commercialization. It relies on computational power and model innovation for customer acquisition, with significant cost advantages, such as SenseTime's model inference cost being 60% lower than the industry average [3][8]. - **RaaS Model**: Accounts for 12% of the market, focusing on human-machine collaborative automation in sectors like manufacturing and finance, with notable improvements in operational efficiency [3][8]. Market Dynamics - The AI agent industry is experiencing a competitive race among innovation parks, with Shanghai's Xuhui District housing over 1,000 companies and offering substantial computational subsidies. SenseTime's generative AI revenue reached 2.4 billion yuan in 2024, constituting 63.7% of its total revenue [4]. - The industry is supported by policy initiatives, such as the Ministry of Industry and Information Technology promoting "AI + manufacturing" actions and various cities providing computational vouchers and project subsidies to foster ecosystem development [7][8]. Financial Metrics - **SaaS Model**: Average gross margin of 60%-80%, customer retention rate of 75%-90%, and annual customer spending between 50,000 to 500,000 yuan [11][12]. - **MaaS Model**: Average gross margin of 40%-60%, customer retention rate of 60%-75%, and annual customer spending between 100,000 to 2 million yuan [11][12]. - **RaaS Model**: Average gross margin of 30%-50%, customer retention rate of 50%-65%, and annual customer spending between 200,000 to 1 million yuan [11][12].