Core Insights - The rapid growth of data in the AI era is highlighted, with global data expected to increase by 36% annually, surpassing 1 YB by 2030, marking the entry into the YB era [3][4] - In China, the annual data output reaches 41.06 ZB, but only 5.1% is effectively stored, indicating a significant opportunity for improvement in data utilization [4] - The establishment of data aggregation platforms is being promoted by national policies to transition data from fragmentation to centralization, enhancing the value of data elements [4] Group 1: Data Infrastructure Development - The concept of "storage power centers" is introduced as a new type of data infrastructure, focusing on comprehensive management of data through aggregation, governance, security, and application [4][5] - Huawei's Omni-Dataverse global file system facilitates efficient data flow across data centers and regions, ensuring data visibility and manageability [5] - The ModelEngine toolchain enhances data preprocessing efficiency and reduces model costs, accelerating AI application deployment [5] Group 2: Data Security and Governance - Huawei's storage centers implement a trusted data space with over 30 data control strategies and full-process logging to ensure secure and controllable data circulation [5] - The integration of end-to-end data enterprises within storage centers promotes a positive cycle from data collection to governance and application [5] Group 3: Strategic Goals for Data Utilization - The goal for China is to transition from a data powerhouse to a data stronghold by increasing the application of advanced flash storage across industries and encouraging innovation in new storage mediums [5] - There is a call for enhanced deployment of AI storage facilities and improved data disaster recovery coverage [5] - The official launch of the provincial advanced storage power center marks a new phase in data resource integration and value release, laying a foundation for market-oriented data element allocation [5]