On November 1, the 2022 JD Cloud City Summit was held in Shanghai. At the meeting, Gao Liqiang, Vice President of JD Group and President of JD Cloud Business Group, said that if the core value of cloud technology in the consumer Internet is to solve the high concurrency problem, in the industrial Internet, it is necessary to solve the complex industrial scenarios for efficient collaboration. Digital intelligence supply chain will become a key engine to support the ultra complex collaboration of industries. (Gao Liqiang, Vice President of JD Group and President of JD Cloud Business Group, delivered a keynote speech.) Building an industrial AI growing on the digital intelligence supply chain. Now, digital intelligence supply chain, an industrial digital transformation method proposed by JD Cloud, is constantly moving towards thousands of industries. From solving the problem of high concurrency of consumer Internet to achieving high collaboration of industrial Internet, JD Cloud's digital intelligence supply chain is promoting the "stage" of global cloud computing to achieve industrial transition. In the high concurrency scenario, JD's "618" and "11.11" large-scale "actual combat" has created JD Cloud, the industry's top three technology system capable of supporting trillions of transactions; Focusing on the complex collaboration of the industry chain, at the 2022 Spring Festival Gala, JD Cloud achieved 16 extreme switchovers in 4 hours in the transaction mode and red envelope interaction mode. For the first time, it escorted the Spring Festival Gala smoothly when the server 0 was newly added, and withstood the top-level test of the longest red envelope interaction, the longest link, and the most complex application scenario in history. Integration with supply chain is the only way for AI to move towards industry. In the past few years, AI has been widely used in life scenes, but it needs to be deeply implemented in industrial scenes. The fundamental reason is that the real bottleneck of AI development is not technology, but industry. AI is "seed" and industry is "soil". Seeds separated from soil cannot take root and AI separated from industry cannot develop. Only by accelerating the deep integration of AI and industry like JD Cloud, can we create more new models, new formats, and new industries, and play a greater role. AI, an industry growing in the digital intelligence supply chain, is fully serving JD's business operations. In JD, more than 85% of purchases are made automatically by machines. JD's intelligent supply chain, using AI technologies such as operational research optimization and in-depth learning, has achieved accurate forecasting, intelligent decision-making and efficient collaboration of tens of millions of self operated SKU in complex supply and demand scenarios, helping JD's inventory turnover to nearly 30 days, leading the world. In the logistics scene, the intelligent robot warehouse scheduling system of Asia No.1 enables the picker to cooperate with the "Ground Wolf" robot, effectively improving the picking efficiency by more than three times. In the service scenario, based on multimodal interaction technology combining voice, semantics and vision, JD Intelligent Customer Service can automatically answer 90% of the service inquiries. It is the first intelligent customer service system in the industry to achieve full process collaborative processing. From the perspective of business demand, the building of an extremely convenient industrial infrastructure means that cross regional new businesses, online businesses, offshore and marginal business scenarios continue to increase, and business needs are more diversified; From the perspective of business development, it is a trend to shield the differences between different infrastructures and let R&D personnel focus on business innovation rather than complex infrastructure management; From the perspective of industrial ecological integration, the seamless connection of different ecological scenarios also requires fast and undifferentiated infrastructure support.