专访思谋吕江波：“AI+”时代，工业智能体正在变成必选项

Group 1 - The "14th Five-Year Plan" emphasizes the core role of technology and innovation, presenting opportunities for transforming cutting-edge technologies into stable and scalable productivity [5][6] - The shift in smart manufacturing from point automation to "system intelligence" is highlighted, with industrial intelligence becoming essential for enhancing production efficiency and resilience [6][7] - The integration of visual perception, multi-modal large models, and execution capabilities is crucial for creating autonomous industrial intelligence systems that can operate in real production environments [6][7] Group 2 - The development of new productive forces relies not only on technological leadership but also on the ability to reconstruct production methods and expand efficiency boundaries [7][8] - The company focuses on creating a "evolutionary and executable" industrial intelligence system, ensuring stable operation and continuous iteration in complex scenarios [7][8] - Global validation of industrial intelligence systems is essential, with the company serving over 300 leading manufacturing enterprises across various regions, demonstrating the adaptability and ongoing evolution of its solutions [8][9] Group 3 - The core goal for 2026 is to transition industrial intelligence from capability building to ecological scale deployment, emphasizing the standardization and platformization of technology [9][10] - The company aims to enhance the stability and generalization of its systems in complex production scenarios, facilitating efficient replication across industries [9][10] - The focus will shift from "usable" AI to "user-friendly and easy to use" AI, with a competitive edge gained through long-term integration into production and decision-making systems [10] Group 4 - The company's globalization strategy involves embedding industrial intelligence deeply into global manufacturing systems, facing challenges related to compliance and industry ecosystems [11][12] - Establishing "systemic trust" is critical, requiring a balance between global standards and local practices to ensure reliable and reproducible systems [11][12] - Future strategies will prioritize deep empowerment and ecosystem co-construction over mere market coverage, focusing on key industries and scenarios to create reusable standardized delivery systems [11][12]