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How to 'Add' in 'AI+Industry' to Create New Quality Productive Forces?

2024-04-25

Driven by the wave of informatization and intelligence, AI is becoming a key force in promoting economic and social development. This year's government work report clearly states that it is necessary to carry out the "AI+" initiative, deeply promote the integration of AI and manufacturing, create new quality productive forces, and lead the manufacturing industry to achieve quality, efficiency, and dynamic transformations.


Focusing on the development directions of high-end, intelligent, and green manufacturing, how can AI deeply empower all areas and links of the manufacturing industry?GETECH believes that the integration of AI and industry is not just a simple technological overlay but requires intelligent upgrades across the entire industrial production process, achieving comprehensive data collection, analysis, and application.




First, the integration of AI and industry must accurately grasp needs and adapt to local conditions.As the main entities in the market, the needs and pain points of manufacturing enterprises are the starting point for AI+industry integration. Enterprises in different industries and of different sizes face varying problems and demands. Tailored solutions should be adopted based on actual conditions, including providing comprehensive services such as consultation, planning, implementation, and operation for intelligent transformation, helping enterprises achieve digital and intelligent upgrades, and cultivating new quality productive forces.


In promoting AI application innovation across the entire production process, it is also necessary to closely align with the actual needs of industrial production scenarios and explore AI applications in various links such as product design, production manufacturing, quality control, and energy and carbon management.Through intelligent transformation, automation and intelligence can be achieved, enhancing production efficiency, reducing costs, and improving product quality.


Taking production and quality control as examples, traditional production methods often rely on manual operations and experiential judgment, leading to issues such as low production efficiency and unstable quality. Through the integrated application of AI+industrial scenarios, potential problems can be promptly identified and warned by collecting and analyzing production data, ensuring the stability and consistency of product quality. This data-driven decision-making approach enables enterprises to respond quickly to market changes and effectively tackle various challenges. Similarly, addressing the actual needs of energy and carbon in industrial scenarios, AI algorithms can be utilized to help enterprises build intelligent management platforms covering the entire lifecycle and all energy and emission scenarios, focusing on energy input, consumption, and carbon emissions in manufacturing plants.



Additionally, unleashing the value of data is a crucial part of strengthening the integration of AI and industry.Data is the core resource for AI applications. Only by fully utilizing industrial data and promoting the flow of data elements can sufficient "data soil" be provided for AI applications. This requires breaking down data silos and promoting the circulation and sharing of industrial data among different enterprises and departments. At the same time, it is essential to strengthen data governance, ensure data security, and guarantee that data elements are fully utilized under legal and compliant conditions. Through data-driven approaches, intelligent decision-making and optimization in industrial production can be achieved, enhancing the competitiveness and innovation capabilities of enterprises.


Finally, the integration of AI and industry requires not only advanced technical support but also corresponding talent and ecosystem support.Currently, there is an urgent demand for interdisciplinary talents who understand both AI and industry. These talents need to have a deep foundation in AI technology while also possessing a thorough understanding of industrial manufacturing processes. Therefore, strengthening talent cultivation and introduction, and building a comprehensive talent system, are key steps in promoting the integration of "AI+industry".



As an AI-powered industrial intelligent solutions provider, GETECH will firmly implement the "AI in everywhere" strategy,重构工业智能解决方案 with AI, promote the application of new quality productive forces in advanced manufacturing industries such as semiconductors and new energy, drive intelligent transformations in production, quality, energy, and other fields, and create a "new engine" for high-quality development.


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