The reporter learned that the Volcano Engine Digital Intelligence Platform has recently launched the "AI Assistant", which helps enterprises improve the efficiency of data processing and query analysis by integrating artificial intelligence big models. Even operators who cannot write code can do a good job in accessing, viewing, and attributing business operation data through conversations with large models. At present, relevant data products have been invited for testing. The query and development of data assets are the foundation of data consumption. In the past, the retrieval and development of data assets relied heavily on professionals, while large models greatly lowered the threshold. "At present, 80% of ByteDance's internal employees can directly use data products, and 80% of the data assets that can be managed and operated cover daily analysis scenarios." Luo Xuan, the person in charge of ByteDance's data platform, said that with the support of big model capabilities, data consumption has become inclusive and business is easier to be data driven. Data, as a new type of production factor, is supporting the digital and intelligent transformation of enterprises. Many enterprises are striving for digital construction, but they are unable to effectively unleash the value of data. There are problems such as high costs of data construction and management, high barriers to the use of data products, and low value of data assets, which are rooted in the lack of a two-way positive drive between business and data. In April this year, based on the practical experience of ByteDance data-driven, Volcano Engine released the new model of enterprise digital intelligence upgrading "data flywheel", the core meaning of which is to do a good job in data consumption. Liu Hang, the person in charge of Jietu Automobile's digitalization, revealed that the digital analysis of operators on the Volcano Engine Digital Intelligence platform is more independent. The analysis scenario of app operation data has been shortened from the past 7 days to the current second level response, and has expanded many precise layered operation scenarios from 0 to 1. For example, in the sales scenario of maintenance kits, SMS achieves an opening rate of over 90%. Volcano Engine President Tan Dai believes that the data flywheel will be an important direction for the application of big models in the enterprise market. "The data flywheel supported by AI will become a new paradigm for enterprises to do a good job of data-driven