Industrial Intelligence: Developing Mechanisms to Overcome Challenges in Smart Manufacturing
Date: January 27, 2026
Currently, the new round of technological innovation and industrial transformation is accelerating, with artificial intelligence progressing from “perceptive understanding” to “generating creativity” and “executing strategies.” As a representative of deep integration between digital technology and real-world economic activities, industrial intelligence is reshaping the structure and value creation model of industrial production.
In response to the central government’s new industrial policy, the Ministry of Industry and Information Technology plans to release the Industrial Internet and Artificial Intelligence Integration Development Action Plan on January 6, 2026. This plan aims to outline the future of industrial intelligence, setting the stage for the industry’s development.
As a high-level form of artificial intelligence technology and industrial internet integration, industrial intelligence is characterized by AI’s ability to identify and predict through operational data, enabling smooth execution and control of strategies. Compared to existing industrial internet frameworks, industrial intelligence has achieved significant breakthroughs in three dimensions:
- Interoperable capabilities through data exchange and communication.
- Automation systems following strict “If-Then” logic to handle exceptions efficiently.
- Integration of models and systems for enhanced operational efficiency and intelligence.
Industrial intelligence represents an advanced level of artificial intelligence technology and is instrumental in industries such as manufacturing, logistics, and energy. It facilitates real-time data monitoring and decision-making, improving productivity and efficiency.
Looking forward, the development of industrial intelligence must focus on addressing several critical challenges:
- Complexity in Decision-Making: The integration of various systems and technologies can complicate decision-making processes.
- Interoperability: Ensuring seamless communication between different intelligent systems is essential for effective collaboration.
- Security and Privacy: Protecting sensitive data and maintaining compliance with regulations is crucial.
In summary, industrial intelligence is set to revolutionize the manufacturing landscape, enhancing productivity and enabling innovative business models. As we continue to explore its potential, it is essential to develop robust frameworks and regulations to support its evolution.
For detailed insights into the integration of industrial internet and artificial intelligence, please refer to the full report.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/advancing-business-intelligence-navigating-challenges-and-opportunities-in-ai-integration/
