Group 1 - The "data element ×" effect is driving the digital transformation of enterprises from a partial digitalization stage to a global networking stage, and then to an ecological intelligence stage [1] - In the partial digitalization stage, enterprises upgrade some business areas but face data fragmentation and information silos. Establishing a data-sharing platform helps integrate multi-source data, promoting the transition to the global networking stage [1] - In the global networking stage, enterprises share data with external partners but have not yet achieved intelligent decision-making. Utilizing big data analytics and AI technologies allows for deeper data mining and intelligent management, facilitating the transition to the ecological intelligence stage [1] Group 2 - The "data element ×" effect promotes iterative upgrades in management across all stages of digital transformation [2] - In the partial digitalization stage, the effect encourages enterprises to strengthen data integration and sharing mechanisms, addressing issues of data dispersion and low utilization efficiency [2] - In the global networking stage, the effect enhances data sharing and collaborative applications, improving information flow and resource utilization through a more comprehensive data-sharing platform [2] Group 3 - The fusion of multi-source, multi-dimensional, and dynamic data will further enhance the accuracy of AI technologies and improve the precision of model training, leading to accurate decision-making and forecasting [3]