Abstract: From the perspective of context-driven innovation, this paper constructs a new intelligent intelligence service model for Industrial Technological Innovation (ITI) from two aspects: theoretical framework and applied implementation. The service theoretical framework proposes a construction pathway for the intelligence service model based on the 'demand mining-scenario depiction-service response' logical chain. The applied implementation guided by the theoretical framework, focuses on eight task scenarios, such as technology insights, R&D efficiency, and so on. Then we provide a detailed analysis of the implementation path and function of the ITI framework from service content and service methods, and intelligent intelligence service system architecture is proposed. This paper aims to deeply embed intelligent intelligence workflows into ITI scenarios, and promoting intelligence services towards context-based and intelligent approaches. It provides a new theoretical framework and implementation pathway for the development and practical application of science and technology intelligence in the intelligent era.

Key words: Industrial technology innovation, Intelligent intelligence services, Context-driven innovation, Service models, Data intelligence empowerment