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On June 27, the China Optics Valley AI Innovation Conference and the 2025 Forbes China Top 50 AI Tech Companies release event kicked off in Wuhan Optics Valley. Over 50 top AI experts, including Turing Award winners, Tsinghua University professors, foreign members of the European Academy of Sciences, renowned scholars, and leading enterprise founders, gathered to present a diverse feast of AI implementation insights. Dr. Li Nan, General Manager of Getech’s Solutions and Product Center, was invited to attend and delivered a keynote speech titled 'The Formula and Practice for Breaking Through Industrial AI Super Productivity,' systematically dissecting the core methodology for Industrial AI implementation alongside leading AI companies such as Tesla, Baidu Intelligent Cloud, 01.AI, and SoundAI.

Compared to traditional digitalization, Industrial AI has demonstrated disruptive advantages. In his speech, Dr. Li Nan pointed out that while Industrial AI has made significant progress, output accuracy still needs improvement, making the exploration of human-backed or non-core production scenarios a priority. At the same time, as model capabilities and small model tools mature, AI will achieve new breakthroughs in decision-making and control, gradually realizing full-process intelligence. Moreover, the accumulation of industry-specific knowledge is crucial for value creation. High-quality industry data and industrial corpora can help AI models internalize expert experience, improve output accuracy, and develop practical AI solutions.

Li Nan also believes that Industrial AI is accelerating its implementation through four paradigms: application intelligence, Agent/intelligent agents, Industrial AI middleware, and smart equipment/embodied intelligence. When further discussing implementation paths, Li Nan publicly revealed the 'three-step' formula for the first time. The first step is scenario screening, which requires focusing on three core aspects: first, prioritize high-value links such as R&D, production, supply, sales, and service guided by value chain monetization; second, tailor solutions for five types of scenarios—knowledge-intensive, data-intensive, change-intensive, interaction-intensive, and creation-intensive—based on large model adaptability; finally, leverage existing IoT and data governance foundations to reduce scenario investment barriers. The second step is model collaboration, building a deep collaboration system between large and small models, where large models handle macro decisions like production scheduling optimization and root cause analysis, while small models execute high-precision tasks such as visual inspection and equipment control. The third step is capability integration, combining the five major capabilities of Algorithm, Big Data, Computing, Domain knowledge, and Equipment (ABCDE) to accelerate bridging the gap in AI application implementation.

Li Nan’s insights are derived from Getech’s deep customer service experience and practical knowledge. Taking TCL CSOT’s full-chain intelligent service practice as an example, Getech not only systematically integrated key business scenarios such as R&D, production, supply, sales, and service but also achieved deep collaboration between large and small models. For instance, the 'Equipment Knowledge Base Agent' small model deployed at TCL CSOT performs real-time diagnostics, while the 'X-Intelligence Vertical Domain Large Model' provides decision support through R&D knowledge Q&A. At the same time, by integrating the five major capabilities, Getech has accumulated deep industry know-how in the semi-conductor field, enhancing the effectiveness of system deployment and helping TCL CSOT achieve Level 4 intelligent manufacturing maturity, the highest national level.

As a leader in industrial intelligence, Getech has always adhered to its trinity strategy of AI + industrial software + smart equipment, empowering the digital upgrade of the semi-conductor manufacturing industry through core capabilities such as independent breakthroughs, platform empowerment, and intelligent leaps. During the conference, Dr. Li Nan was interviewed by Forbes China, discussing Getech’s in-depth thinking and practice in systematic Industrial AI implementation.

At the awards ceremony, Getech was honored as a 2025 Forbes China AI Rising Enterprise, reflecting its business achievements in technological depth and scenario breadth. In the future, Getech will continue to deepen Industrial AI scenario empowerment, contributing more replicable formulas for productivity leaps to the industry.