From embodied intelligent robots that can read minds, to low altitude sky nets that protect the blue sky; From the "Fu Xiaoban" silver haired mobile phone that understands your heart, to VR glasses that can "pay at a glance"... Currently, artificial intelligence is evolving from big language models to multimodal models, from basic models to industry models, from content generation to autonomous decision-making by intelligent agents, and from digital intelligence to embodied intelligence. A number of data empowerment practices that integrate "data set production, processing and circulation utilization, and support model training applications", as well as a batch of "data x intelligent agent" industry innovations, are accelerating the landing of AI applications. Among them, data infrastructure is the core carrier of the national integrated data market, which can play an important role in data production and supply, scale circulation, value co creation, and other aspects. Liu Liehong, Secretary of the Party Group and Director of the National Data Administration, stated during the 9th Digital China Construction Summit that this year is the "Year of Data Element Value Release". The National Data Administration will make good use of the "531" policy toolbox, accelerate the construction of data infrastructure, promote the development and utilization of data resources, strengthen the construction of high-quality datasets and data infrastructure support, accelerate the deep integration of data elements and artificial intelligence, create a better innovation environment for various entities, and better empower high-quality economic and social development. Under the release of the value of data elements, many state-owned and central enterprises have identified intelligent services as their main business, focusing on building a strong network country and a digital China, and helping to create a new form of intelligent economy and intelligent society. Chen Zhongyue, Chairman of China Mobile, introduced that China Mobile has launched over 50 industry models and more than 3000 AI+projects based on the "Tiangong" platform, promoting the integration of real numbers; Upgrade the "Lingxi" intelligent agent, promote digital intelligence culture, embodied intelligence and other services, and lower the threshold for AI application; Promote the integration of AI into business management, deepen digital intelligence and strengthen capabilities, launch over 80000 digital intelligence employees, and improve business quality and efficiency. At the same time, we will strengthen communication, computing power, intelligent full stack innovation, and integrated service capabilities, enhance the supply of intelligent computing centers and cloud computing services, upgrade the "Nine Heavens" base model and MaaS platform, and promote breakthroughs in intelligent services. The new form of intelligent economy needs to accelerate the opening of scenarios. At the artificial intelligence ecological conference with the theme of "gathering intelligence to foster a new form of intelligent economy", China Mobile and China Industrial Internet Research Institute signed a cooperation agreement on the digital supply chain platform for equipment manufacturing industry. Relying on the massive resources and AI capabilities of the platform, we can improve the quality and efficiency of engineers, reduce costs and expand customers for enterprises, and solve the pain points of industrial development; And take Fujian, Jiangsu, and Zhejiang as pilot areas to accelerate nationwide promotion, enhance manufacturing "hard power" through communication "soft power", and jointly promote the deep integration of information and communication with equipment manufacturing. Zhang Xiaotong, chief engineer of China Industrial Internet Research Institute, said that it is necessary to consolidate the digital intelligence infrastructure and build the intelligent computing capability of edge cloud, enterprise cloud and industrial cloud collaboration; To promote the ubiquitous interconnection of all factors in industry, improve the networking rate of terminal devices, accelerate the development of embedded AI, and promote the adaptation and conversion of standard protocols; To build high-quality industrial datasets and establish a standardized, unified, and machine-readable industrial data ontology system; Develop industrial intelligent agent applications, build a collaborative ecosystem of "big model command, small model execution", and deploy equipment level, production line level, workshop level, and factory level intelligent agents in a layered manner. Some insiders also believe that the industrial Internet based on high-quality data sets and AI big models should not only "inclusive empowerment", but also "step by step" in the "grading" of industrial scenarios. (Looking into the New Era)