With the in-depth promotion of China’s digital transformation actions and the vigorous implementation of intelligent manufacturing engineering, the manufacturing industry is moving toward the era of “number intelligence”, and generative AI is regarded as promoting manufacturing

The key driving force for the development of intelligent industry.

It is predicted that by 2027, 30% of manufacturing will adopt generative AI to improve product development efficiency. Building on digital transformation, generative AI brings even stronger potential to manufacturing.

By training models with existing plans, generative AI can automate the generation of new designs, thereby improving the efficiency of product development. At the same time, it also helps to improve the automation level of the production line.

After the completion of digital transformation, how can enterprises use generative AI to move towards the era of “number intelligence” and tap the huge opportunities contained therein?

From Digital to Digital Intelligence: The Transformation path of manufacturing

With the rapid development of artificial intelligence technology, the manufacturing industry is undergoing an unprecedented transformation.

Over the past few decades, manufacturing companies have automated and informationized production processes through digital transformation, however, digitization is only the first step in the transformation.

Nowadays, with the maturity and application of AI technology, the manufacturing industry is gradually moving towards the era of “number intelligence”, and has realized the leap from digitalization to number intelligence.

Digitization refers to the conversion of physical entities and processes into digital form so that they can be recognized and processed by computer systems.

Digital transformation enables manufacturing enterprises to automate, informationize and collaborate in the production process, improving production efficiency and quality control capabilities. However, digitalization is only the use of digital technology to optimize traditional production processes, and still relies on human decision-making and operations.

Digital intelligence goes a step further, combining digitalization with artificial intelligence to enable intelligent production and decision-making through technologies such as machine learning, deep learning and generative AI.

Digital intelligence is not only the optimization of existing processes, but through the application of AI technology, so that the machine can learn and adapt to achieve intelligent decision-making and autonomous operation.

With the development and breakthrough of AI technology, manufacturing companies have begun to shift their attention from digital transformation to digital intelligence.

AI technology can extract and analyze valuable information from big data to provide intelligent decision support for manufacturing enterprises.

Through deep learning and pattern recognition of massive real-time data, AI systems can accurately predict production conditions, quality problems and equipment failures, and provide corresponding optimization schemes and early warning mechanisms to help enterprises make timely and accurate decisions.

AI technology can also automate and intelligentize manufacturing processes. Through machine learning and visual recognition technology, AI systems can automatically monitor and control the production process, adjust parameters and optimize operations in real time, and improve production efficiency and quality stability.

At the same time, AI technology can also be combined with robotics to achieve intelligent logistics and assembly, reduce labor costs, and improve the flexibility and responsiveness of the production line.

In addition, AI technology gives manufacturing companies greater ability to innovate. By learning a large amount of product data and design rules, generative AI technology can automatically generate new design schemes to help enterprises quickly design competitive products.

AI technology can also simulate and optimize product performance, quickly predict and verify the feasibility and quality of products, accelerate the product development cycle, and improve the market competitiveness of products.

With the wide application of AI technology, the manufacturing industry is gradually moving towards the era of “number intelligence”. Digital intelligence transformation enables manufacturing enterprises to realize intelligent decision-making, automated production and innovative design, further improving production efficiency and product quality.