Guangzhou Information Association Holds Run・Token AI Energy Scenario Implementation Practice Exchange Meeting

On October 30, 2026, under the guidance of the Guangzhou Association for Science and Technology, the Guangzhou Information Association, the Guangzhou Information Industry Enterprise Science and Technology Association Federation, Runjian Co., Ltd., and Guangzhou Intelligent Technology Development Co., Ltd. jointly hosted the "Run・Token | Digital Intelligence Energy · Co-Creating an Ecological Future—AI Implementation Practices in Energy Scenarios Exchange Meeting." The meeting invited representatives from new energy enterprises and institutions to exchange views on the implementation practices of data and agent applications in the new energy industry, and through activities such as exhibition hall visits and thematic sharing, explored the specific pathways for artificial intelligence to enter energy industry scenarios.

Event site

Learning from advanced experience

How to effectively transform model capabilities into tools and supporting services that energy industry enterprises can use and easily implement throughout the entire daily production and operation process, and effectively bridge the gap between model capabilities and industry application needs, was the core focus of this event's discussions. The event specially arranged an on-site visit, organizing participants to enter the themed exhibition hall of Runjian Co., Ltd., a member unit of the Guangzhou Information Industry Enterprise Science and Technology Association Federation, to systematically learn about the advanced experience and achievements the enterprise has accumulated in computing power construction, building models for vertical domains, and building specialized service capabilities for the energy industry.

Exhibition hall visit photo

Exchange and sharing

After completing the on-site visit and learning session at the Runjian Co., Ltd. exhibition hall, the event continued by organizing senior experts from the information technology field and the energy industry, as well as representatives of relevant enterprises present, into the formal agenda of case sharing and in-depth technical exchange. The exchange session consistently anchored itself to the overall development trend of current artificial intelligence technology iteration and evolution, closely aligned with the actual urgent needs of new energy industry transformation, and carried out full exchanges of views and experience on core directions such as empowering the entire business process with model capabilities, identifying implementable application scenarios for digital intelligence technologies, and building long-term collaborative cooperation models across entities, effectively building a regularized and professional platform for mutual learning and mutual reference for the exchange of practical experience in the digital and intelligent transformation of the new energy industry.

Technical experts Li Chunxia and Xiao Guoyi from Runjian Co., Ltd. successively delivered two thematic experience-sharing presentations, "Token-Driven AI+FDE Intelligently Building a Full-Stack Digital Intelligence Ecosystem" and "AI Empowering Integrated Energy to Intelligently Build a Low-Carbon Future," systematically introducing their exploration results in building an AI technology implementation capability system and specialized adaptation solutions for energy sector business; Ge Longwen from Guangzhou Intelligent Technology Development Co., Ltd., combining practical experience accumulated on the project front line, delivered a special content breakdown titled "Intelligent Technology—Intelligent Data Query Sharing." All of the above thematic sharing sessions, starting respectively from different professional research perspectives—collaborative application of large models and small models for vertical scenarios, building agents adapted to industry needs, and fully releasing the value of data elements—systematically reviewed the practical problems and core bottlenecks faced in the implementation of digital intelligence technologies in the vertical segmented field of energy, and, combining their own practical experience, distilled referential and promotable implementation paths that can be learned from.

Thematic sharing

The Guangzhou Information Association and the Guangzhou Information Industry Enterprise Science and Technology Association Federation will continue to base themselves on their organizational positioning, further leverage their role as a bridge and bond connecting both ends of industry supply and demand and linking all entities across industry, academia, and research, and, around various practical application needs in the large-scale promotion of artificial intelligence technology, industry adaptation and optimization of large models, and scenario-based deployment of agents, rely on diverse channels such as regularly conducted thematic exchange seminars, breakdown and sharing of frontline practical cases, and linkage and communication among industry, academia, and research entities, to promote efficient and precise matching of three types of resources—technology supply, market entities, and professional services—accelerate the implementation and transformation of high-quality scientific and technological achievements from the technology R&D end to the industrial application end, build an open, pragmatic, and regular exchange platform for mutual learning and mutual reference for the vast number of member enterprises and relevant units across the industry to explore digital and intelligent transformation paths, and effectively promote the deep application and practical results of artificial intelligence technology in various specific scenarios of enterprise production, operation, and business development.

Group photo