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]

中国发展网讯 记者龚成钰报道 近日，广西科技厅聚焦地方特色优势产业，围绕行业领域亟待解决的关 键技术难题，遴选了2025年第一批行业大模型研发揭榜制项目（科技重大专项）需求，通过人工智能大 模型技术的深度应用，赋能推动传统产业智能化升级，培育发展新质生产力。 据介绍，这5个项目预期在今年8月底前初步形成阶段性成果，将为全国行业大模型研发与示范应用提 供"广西方案"，也将为广西打造人工智能创新应用高地奠定坚实基础。 据悉，第一批项目具体有动力装备、有色金属、西部陆海新通道智慧水运、糖业、车联网等5大行业大 模型研发与应用示范，具体来看，动力装备行业大模型针对发动机研发试验数据庞杂、故障诊断依赖专 家经验等痛点，构建行业知识库与智能体平台，实现零部件智能设计、故障预警，并聚焦农业特定场 景，实现动力系统与农机具、车载终端的交互。有色金属行业大模型聚焦有色金属冶炼工艺调优、关键 设备预测性维护、能源管控等典型场景开展研究与应用示范，助力有色金属冶炼生产提质增效。西部陆 海新通道智慧水运大模型落地船闸群智能联合调度和港口群智能运行调度两大核心服务场景，解决高密 度船舶交通下西部陆海新通道船闸港口高效运行与效率提升等关 ...