Explore new paradigms for the integration of AI and industries to empower the intelligent upgrade of the manufacturing sector.
On July 4th, the 2025 "AI Gathering · Intelligent Manufacturing Innovation" Digital Friends Club AI + Industry Application Cooperation Exchange Meeting, hosted by BOE Technology Services and co - hosted by Digital Friends Club, Lianjie Innovation, and Lianjie Embodied Intelligence Center, was successfully held at the BOE Meta - Space in Beijing. This event brought together representatives from industrial players such as Schneider Electric, Kyocera, and China Telecom; representatives from research institutions and embodied intelligence innovation enterprises such as Beijing Academy of Artificial Intelligence, Zhipingfang Technology, Tiangong Robot, Zhongke Huiling Lingbao CASBOT, Lingxin Qiaoshou, Tianchuang Robot, and Lingsheng Technology; software and large - model enterprises such as Baoweitong Technology; universities and research institutes such as Beihang University and the Chinese Academy of Sciences; and investment institutions such as Jinshajiang Capital and Tsinghua Shuimu Seed Fund. More than a hundred guests attended the meeting to jointly explore the multiple paradigms of AI + industry applications as large models move from the digital world to the physical world, and to promote the ecological construction and collaborative cooperation of the upstream and downstream of the industrial chain.
The event site
Reconstructing Industrial Paradigms: AI Empowerment Usher in a New Wave of Industrial Development
As a high - ground for the development of the artificial intelligence industry, Beijing has formed a full - chain industrial cluster from computing power data, chips, industry - specific large models, scientific research platforms to machine vision and perception, industry applications, and solutions. With the successive introduction of policies such as the "Beijing Action Plan for Promoting 'Artificial Intelligence +' (2024 - 2025)", the "Beijing Action Plan for Empowering New Industrialization with Artificial Intelligence (2025)", and the "Beijing Action Plan for Scientific and Technological Innovation and Industry Cultivation of Embodied Intelligence (2025 - 2027)", Beijing is taking a core approach of a multi - billion - level fund and open scenarios to promote the in - depth integration of AI with industries such as manufacturing, healthcare, and transportation.
As a provider of space solutions and technological innovation services, BOE Technology Services has currently formed a "1 + 3" business layout featuring coordinated development of park operation, industrial services, office services, and cloud services. Cai Hui, the deputy general manager of BOE Technology Services, said in her speech that as one of the "N" - type application scenario businesses in BOE's "1 + 4+N + ecological chain", BOE Technology Services will continue to build an open and win - win industrial exchange and cooperation platform, and work hand in hand with partners to explore new models of industrial development and share new growth opportunities. BOE's technology service brand "BOE Meta - Space" is committed to becoming the "time partner" and "ecological cultivator" of innovative enterprises. It provides ideal spaces and vertical industry service platforms for innovative enterprises, links resources such as investors, market customers, R & D talents, and suppliers, and grows together with innovative enterprises to become the most trustworthy partner of innovative enterprises.
Cai Hui, Deputy General Manager of BOE Technology Services
Following the wave of the digital era, BOE proposed the "AI +" strategy in 2024, focusing on three major areas: "AI + Manufacturing", "AI + Products", and "AI + Operations", making artificial intelligence an advanced productive force for BOE's innovative development. Chen Weimeng, the person in charge of the promotion and cooperation of artificial intelligence technology in the AIoT organization of BOE Group, explained how BOE uses AI to empower manufacturing upgrades. In the field of AI + Manufacturing, BOE's display industrial large model deeply integrates semiconductor display knowledge and experience, providing leading industrial intelligent technology solutions in display manufacturing scenarios such as R & D design, production management, quality control, and product services. In the field of AI + Products, BOE has created an AI - empowered smart office solution. The BOE Smart All - in - One C100 series offers one - stop services such as in - depth AI thinking, AI large - model meeting minutes, large - model device operation Q&A, and intelligent pen AI voice control. At the same time, as a key foundation for BOE's "AI +" strategy, the Beijing BOE Cloud Computing Power Center continues to build an AI industrial - grade computing power engine with characteristics in intelligent manufacturing and smart healthcare.
Chen Weimeng, Person in Charge of Promotion and Cooperation of Artificial Intelligence Technology in the AIoT Organization of BOE Group
From technology to industry, an ecological - level promoter is needed for precise connection. Shen Suyi, the person in charge of Lianjie Embodied Intelligence Center, stated that Lianjie uses the dual - wheel drive of Lianjie Innovation and Lianjie Qichen Capital to deeply connect the embodied intelligence industrial scenarios with excellent technology providers. Through the iCANX Scientist Fund, it invests in enterprises focusing on the body and core components such as Jinhua Evolution and Weiti Technology. At the same time, it explores more application scenarios with excellent industrial partners like BOE to help more innovative technologies enter the industrial field.
Shen Suyi, Person in Charge of Lianjie Embodied Intelligence Center
Supply - Demand Matching: Facilitating a Triangular Closed - Loop of "Technology - Scenario - Capital"
The event specially set up an open - scenario session, inviting enterprises, experts, and investors from the upstream and downstream of the AI industrial chain. Through the "Scenario - Provider Supply - Demand Release" session, it promoted the precise matching between industrial leaders such as Schneider Electric and Kyocera and on - site AI innovation enterprises. On - site supply - demand matching was carried out for multiple sub - scenarios in industrial, special, and manufacturing fields, and multiple cooperation intentions were reached on the spot.
Supply - demand matching session
As a representative of industrial leaders, Schneider Electric elaborated on how it uses local innovation and an open ecosystem to achieve AI - empowered energy management and intelligent manufacturing. Hong Yanbo, the general manager of Schneider Electric's Strategic Alliances and Innovation Ecosystem, said that Schneider Electric has been deeply involved in the Chinese market for 38 years and has always adhered to the strategy of "local innovation × open ecosystem". Focusing on the fields of energy management and industrial automation, it has proposed digital innovation solutions empowered by AI in key scenarios of many industries and has proactively explored and deployed embodied intelligence technologies to empower industry transformation and upgrading with professional digital capabilities. At the same time, he advocated for open ecological collaboration and introduced Schneider Electric's "Winning Program". Since its launch in 2020, this program has attracted more than 1,250 small and medium - sized enterprises in total. More than 80 enterprises have participated in the acceleration and growth mechanism, resulting in more than 40 joint innovation achievements, forming a closed - loop of "demand - co - creation - implementation - promotion" and becoming a benchmark platform integrating startup incubation, technological innovation, and achievement transformation.
Hong Yanbo, General Manager of Schneider Electric's Strategic Alliances and Innovation Ecosystem
Technology Pioneers Discuss Multidimensional Practice Paths of AI + Industry Applications
From breakthrough natural language understanding, amazing image recognition and generation, to complex cross - modal interaction and decision - making, large models are reshaping scientific research paradigms and revolutionizing industrial processes with their unprecedented generalization ability and emergent properties. At the event, representatives from the industrial chain and enterprises were specially invited to discuss the multidimensional practice paths of multiple innovative paradigms, including large models for spatial intelligence, large models for embodied intelligence, and general platforms for embodied intelligence, in industrial scenarios.
Yu Longbin, the architect of the large - model industry application solution at Beijing Academy of Artificial Intelligence, said that the development of artificial intelligence has gone through three waves: from the rule - engine - driven expert system to the era of small AI models driven by neural networks, and now it has entered a new stage of general intelligence dominated by large models. He emphasized that the Beijing Academy of Artificial Intelligence has laid out a comprehensive large - model portfolio through a "head - to - tail" strategy, covering from the full - stack open - source technology base of large models, dataset construction, algorithm model evaluation, to language large models, multi - modal large models, embodied large models, biological computing large models, and life simulation in sub - scenarios, promoting comprehensive innovation in fields such as healthcare, education, and manufacturing.
Yu Longbin, Architect of the Large - Model Industry Application Solution at Beijing Academy of Artificial Intelligence
Qiu Wei, the vice - president of Zhipingfang Technology, took the large model of embodied intelligence as an example to talk about its application cases in industrial scenarios, especially in the automotive industry. He said that currently, Zhipingfang's embodied intelligent robots have been deployed in structured scenarios such as automotive manufacturing, biopharmaceuticals, and semiconductors. By replacing traditional programming with natural language interaction and adaptive learning, they have significantly reduced the cost of production line adjustment. Technologically, Zhipingfang has further improved the efficiency and accuracy of industrial scenarios through a "fast - slow system combination" architecture. In the next 3 - 5 years, Zhipingfang's application deployment will extend to complex scenarios such as civil aviation and public services. Qiu Wei emphasized that a "hardware - software integration" approach is needed to coordinate the industrial chain and promote the reshaping of the industrial economic landscape by embodied intelligence. In just two years since its establishment, Zhipingfang has been working with ecological partners to accelerate the commercialization of technology and help upgrade China's intelligent manufacturing.
Qiu Wei, Vice - President of Zhipingfang Technology
Huo Ran, a senior expert at Baoweitong Technology Co., Ltd., said that as an enterprise invested in and established by CRRC, the company, relying on its technological accumulation in rail transit, has extended its core capabilities in spatial intelligence to key fields such as water conservancy, emergency response, and firefighting. To address pain points such as high costs of digital space modeling and difficult data maintenance, Baoweitong has built a domestic - made spatial base and provided lightweight modeling tools to empower users for independent operation. Its self - developed ViLSP spatial physical large model has significantly improved the dynamic analysis and physical deduction capabilities of three - dimensional space (e.g., in cases of fire and floods). In the field of embodiment, it has deeply integrated multi - source spatial data, spatial physical engines, AI decision - making training, and robot body capabilities to create a breakthrough full - chain spatial intelligence system of "perception - deduction - decision - execution", opening up a new path for intelligent operation and maintenance and emergency response in complex scenarios.
Huo Ran, Senior Expert at Baoweitong Technology Co., Ltd.
Li Siying, the person in charge of China Telecom's AI team, said that in the wave of AI reshaping all industries, DeepSeek, with its extreme performance and inclusive nature, is becoming the core engine driving industrial intelligence. China Telecom actively responds to the SASAC's "Artificial Intelligence +" initiative, regarding the development of artificial intelligence as a comprehensive, strategic, and fundamental issue for the high - quality development of the entire group. Keeping pace with the times, it promotes the upgrading of the corporate strategy, seizes the incremental market opportunities brought by DeepSeek, and upgrades to an integrated supply of "intelligent computing + large models + MaaS + applications + services".
Li Siying, Person in Charge of China Telecom's AI Team
Zhang Miao, the co - founder and COO of Zhongke Huiling Lingbao CASBOT, said that embodied intelligent robots are unlocking more possibilities in semi - structured scenarios