在数字经济与实体经济深度融合的2025年，人工智能技术正以颠覆性力量重塑商业逻辑。当全球企业竞相布局AI商业化时，一个核心矛盾日益凸显：头部 科技企业手握核心技术却难以满足千行百业的个性化需求，中小企业则因高昂的研发成本与复杂的技术门槛被挡在AI商业化大门之外。在这场技术普惠的 攻坚战中，客易云集团以"数字人贴牌战略"为支点，通过开放自研技术中台、构建生态共生网络，成功破解AI商业化"最后一公里"难题，为全球企业提供了 一条低成本、高效率的智能化转型路径。 生态共生：从"技术供应商"到"价值合伙人" 客易云深知，AI商业化的终极目标不是技术输出，而是构建一个开放共生的生态系统。为此，其推出三大生态计划："星火计划"面向中小企业提供零门槛贴 牌服务，合作伙伴仅需支付年费即可获得技术授权、品牌定制与基础培训；"领航者计划"与行业头部企业共建联合实验室，共同开发创新应用并按销售额分 成；"创客计划"则支持个人开发者与初创团队基于客易云技术创业，提供免费技术培训、营销资源对接与融资支持。 场景深耕：从"单点应用"到"全链路赋能" 这种"和而不同"的生态模式，既保障了合作伙伴的自主性，又推动了行业的标准化发展。某医疗企 ...

Group 1: Industry Overview - The digital human industry in China has seen significant growth, with 1.144 million related enterprises as of 2024, and over 174,000 new registrations in the first five months of the year [2] - The market size driven by digital humans is expected to reach 640.27 billion by 2025, indicating a shift from concept to large-scale application [2] - Digital humans are becoming a crucial vehicle for the integration of advanced technologies such as artificial intelligence, big data analysis, and generative AI, injecting new momentum into digital transformation [2] Group 2: Company Initiatives - New New Technology Co., Ltd. (09600.HK) is actively investing in the research and development of digital human products and services, aiming to integrate innovative technologies like graphic computing and AIGC for high-quality solutions [1] - The company seeks to mature its digital human products and solutions for service industry clients, enhancing their application scenarios [1] Group 3: Challenges and Considerations - Current digital human technologies face issues with integration and responsiveness, leading to delays and unnatural interactions, which negatively impact user experience [3] - Ethical and regulatory challenges, including issues related to portrait rights and copyright, need to be addressed as digital humans move towards commercialization [3] - Companies in the digital human sector must find a balance between technological innovation and market compliance to elevate their products from mere technical showcases to value-creating solutions [3]

Core Insights - Suzhou Urban Investment Group held a conference focusing on the integration of artificial intelligence (AI) technology and innovation practices, aiming to establish a high-level "AI+" innovation development pilot zone [1] - The group introduced an AI development application platform and digital human products, outlining an action plan with eight initiatives to enhance the integration of large models with core business operations [1] Group 1: AI Initiatives - "AI + Park": Redesigning park elements to create smart products, focusing on dynamic optimization of building energy efficiency and equipment operation monitoring to tackle energy consumption and equipment management issues [1] - "AI + Pipeline": Developing a multimodal operation and maintenance model for intelligent analysis of underground structural disaster mechanisms, disaster reduction measures, and disaster monitoring and early warning [1] - "AI + Real Estate": Establishing digital employees and intelligent sales assistants to optimize the information exchange process in real estate transactions [1] - "AI + Construction": Building a large data model for intelligent equipment to enhance capabilities in construction scene perception, human-machine interaction, and autonomous decision-making [1] - "AI + Water Management": Creating an intelligent hotline and equipment processing model, along with developing intelligent control models for water treatment processes to improve pipeline efficiency [1] Group 2: Additional AI Applications - "AI + Consumption": Utilizing a large membership platform to integrate diverse services such as commerce and leasing, innovating consumer experiences through technology [2] - "AI + Environment": Leveraging green low-carbon AI agents to intelligently generate green low-carbon strategies and improve solid waste detection models, promoting resource utilization [2] - "AI + Services": Developing an auditing assistant that integrates key audit points with enterprise data processes to enhance audit efficiency and accuracy [2]