March 10, 2026
To accelerate the implementation of “Kangni Manufacturing 2030” strategy and respond to the wave of artificial intelligence technological change, on the morning of March 6, Kangni Group Information Management Department held a special training session on “Key AI Technologies Enablement and Innovative Applications.” The training invited Du Wei, General Manager of Zhongzhi Manufacturing Company, and Yu Zhimin, Deputy General Manager, to deliver lectures. Participants included Zhang Hongbin, Assistant to the President of Kangni, all members of the “Kangni Manufacturing 2030” project team, and relevant business personnel. The training was hosted by Wang Hongtao, Director of the Information Management Department.
This training focused on two core dimensions: “Embodied AI and Humanoid Robots” and “Core AI Technologies and Kangni’s Application Strategy.” Through systematic knowledge input and scenario-based case analysis, it aimed to build an enterprise-level AI capability foundation, drive the transformation of AI from a “technological concept” into “business momentum,” and comprehensively enhance the team’s depth of understanding and application capabilities in artificial intelligence technologies.
In the lecture on “Embodied AI and Humanoid Robots,” Du Wei systematically introduced the concept, development history, and current status of embodied AI. He deeply explained the core technological roadmaps, development trends, and application scenarios of humanoid robots. Furthermore, he provided preliminary assessments and suggestions based on the industrial characteristics and actual situation of Kangni’s Railway Transport Headquarters, offering a forward-looking perspective for the company’s exploration of new forms of intelligent manufacturing in the future.
In the subsequent lecture on “Core AI Technologies and Kangni’s Application Strategy,” Deputy General Manager of Zhongzhi Manufacturing Company Yu Zhimin focused on core AI technologies, deconstructing the core AI technology landscape from multiple dimensions such as “data, algorithms, computing power, and scenarios.” He delved into the company’s entire business chain, including marketing, R&D, processes, production, supply chain, product services, and intelligent management, using practical cases to construct a future AI development plan and implementation roadmap for the company.
This training also marks the beginning of Kangni’s series of AI training sessions. Subsequently, Kangni will continue to launch advanced training courses to deepen the exploration and application of AI technology across various business scenarios, driving high-quality development in the manufacturing industry with an intelligent engine.
