Zhang Chengkang：In the era of big models, generative AI is a major trend, and the current development status requires more than value. The massive investment in manpower, resources, and funds is driving the development and application of technology. At this point, we need to address the input-output problem: how to make AI generate value? In the application of exploring scenarios, the core problem to be solved is actually the issue of input and output. For example, training a model requires a large knowledge base and a large amount of computing power. The resulting benefits may save little cost for a single factory or enterprise, but it may not be the case for an industry. Just like the 'scissors gap principle' I talked about, when all intelligence is significantly lower than the cost of using traditional models in the future, it will be completely replaced when this intersection point comes. At present, SIE has also worked with customers in the PCB industry to create industrial application scenarios. Through large model training in the field of process automation, the accuracy can be improved by up to 90%. When it can reach 100% or 99.9% in the future, we can replace it. Although this intersection has not yet arrived, in such a big wave, each of us should actively learn and embrace AI technology.

Zhang Chuanzong：With the continuous development of AIGC technology, traditional distilleries have begun to introduce some intelligent equipment and systems to improve production efficiency and quality. AI has been rapidly applied in the liquor industry. With AI empowerment, only two people are needed to manage a thousand person factory, achieving highly automated "black light production". The new AI technology can play a huge role in the warehousing, logistics, manufacturing, and supply chain scenarios of liquor enterprises. Through data analysis and prediction, it can optimize supply chain management, improve the operational efficiency of the supply chain, help enterprises achieve improved operational efficiency, and ultimately achieve the effect of cost reduction and efficiency improvement.

Li Peigen：It is difficult for us to talk about "disruption" in the near future. In the industrial metaverse, there will be some disruptive changes in products, business models, consumption patterns, and so on. This is possible, but such changes are still relatively distant at present. Reshaping "refers to how to empower enterprises with digital technology for transformation. Digital transformation is multifaceted, and the transformation of product development, manufacturing, service, and other models is a process of reshaping.

Zhang Chengkang：The innovation of technology is rapidly iterating, and AI has disruptive power in the manufacturing industry. Automation, robots, and AI are changing traditional production lines, moving from traditional manufacturing to intelligent manufacturing. This is the subversion of scenarios. When the intersection comes, it is not optimization but replacement and subversion. So we need to embrace AI and discover this big trend. As a digital service provider, in the AI era, SIE has also joined hands with Huawei and its customers. With the knowledge how we have accumulated in the industry for many years, we have deeply touched the core pain points of the industry, created industry models, and constantly penetrated the industry, thus subverting the traditional production and manufacturing model and enabling high-quality development of enterprises.

Wan Xuchang：The changes in technology are constantly evolving and gradually changing our habits and ways of life. For example, with the advent of office software, we can directly use mobile devices such as DingTalk to approve files. Taking Sunrise East as an example, our air source heat pump products saw a 99% year-on-year increase in sales revenue from the first to third quarters of this year. Faced with such a huge demand for goods, we would not have been able to achieve smooth supply without the introduction of digital technology. These are tangible changes brought about by digitization and intelligence, and we need to quickly keep up and adapt to the reshaping of enterprise scenarios by new technologies.

Zhang Chuanzong：In 2010, Lenovo launched its first generation smartphone, the LePhone. At that time, smartphones were thick and heavy, and the range of intelligence was very limited. We couldn't imagine that today's smartphones were so small and lightweight, and could almost solve all your problems. The rapid development of mobile Internet and e-commerce live broadcasting in recent years has made human-computer interaction and human interaction possible. The emergence of ChatGPT has brought new possibilities, and in the future, we can achieve super creativity at ultra-low cost through the powerful execution of artificial intelligence. I believe that AI can bring disruptive changes in the future.