“No matter what form the big model takes in the future, it will be there.” ‘Companies need to be prepared,’ Mr. Peng said.

560CMU05 R0001   “Artificial intelligence is what level 5 of intelligent manufacturing can achieve.” Lenovo Song Tao said that enterprises need to begin to implement digital work such as basic business combing, software applications and platforms, and lay a good foundation. These also need the support of infrastructure, cloud computing, hybrid cloud, data security, data management and other basic work, which is also an opportunity to help enterprises re-organize IT, OT, DT, ET and other opportunities.

Song Tao also mentioned the four elements of artificial intelligence technology landing – computing power, data, algorithms and scenes. Among them, the scene is the driver, and it is necessary to excavate scenes that can use AI to reduce cost and improve efficiency. Computing power is the underlying support, data is the nutrient, and algorithms are the value formed by artificial intelligence technology.

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He suggested that in the implementation of artificial intelligence, priority should be given to the construction of computing power and data storage, and then data governance and data value mining; Use high-quality data to train the corresponding algorithms, so as to generate value for the business. The landing of AI also needs corresponding talents, and it is realized step by step and by stage through technology.

Peng Xinyu referred to the “development of new quality productivity” in the government 560CMU05 R0001   work report last week. “Large models for smart manufacturing are desirable.” He said that from what OpenAI has done this year, it has opened up new Spaces – human space, economic space, and enterprise space. “In essence, we haven’t seen real disruption in the industry yet, but it’s also the responsibility of these people closer to the corporate scene.”