观察者网了解到，这是袁远首次以华为数据存储产品线总裁身份对外亮相，而该产品线前任总裁周跃峰 已担任华为公司高级副总裁、华为云CEO。 12月17日至18日，由下一代互联网国家工程中心主办联合澳门科技大学共同主办的2025全球数据技术大 会（GDTC）在北京举行。华为公司副总裁、数据存储产品线总裁袁远发表《构建先进数据基础设施， 激活AI时代数据价值》主题演讲。 袁远提到，中国已是全球数据大国，但数据语料建设仍面临关键挑战：我国数据留存率仅2.8%，需从 技术层面解决海量数据"存不下"、存储成本高和能耗大等难题；行业高质量数据稀缺，以医疗模型为 例，我国模型训练数据量只有西方领先国家的10%左右；大量城市与企业数据仍储存在"孤岛"上，数据 共享率不足25%；全球年度泄露数据已达惊人的471.6亿条，给各行业带来巨大风险，数据泄露成为当 前数据跨境流动的核心命题。 华为公司副总裁、数据存储产品线总裁袁远发表演讲 以下为袁远演讲全文： 各位嘉宾，大家好！今天大会的主题是"共筑智能时代的新型数据基础设施"。我想借此机会，分享一下 华为在数据基础设施方面的思考与实践，希望能为产业界推进高质量数据集建设、用好AI有所帮助 ...

Group 1 - The 2025 China Computing Power Conference was held in Datong, Shanxi, focusing on accelerating towards an intelligent world through advanced solutions in connectivity, computing, storage, and digital energy [1][6] - Huawei's Vice President Zhou Yuefeng emphasized the importance of data aggregation, circulation, and value release for cities, industries, and enterprises to transition from a data powerhouse to a data strong nation, seizing opportunities in the AI era [1][3] Group 2 - China has become a global data powerhouse with an annual data output exceeding 40ZB, but the effective data retention rate is only 2.8%, indicating a significant amount of data is discarded at the source [3][4] - The construction of advanced data infrastructure is crucial, with a focus on creating trusted data management centers and efficient data circulation to transform data resources into valuable assets [3][4] Group 3 - At the industry level, the establishment of high-quality industry-specific data repositories is essential for AI model effectiveness, encouraging leading enterprises to build collaborative data-sharing platforms [4][5] - For enterprises, the development of AI data lakes is necessary to facilitate collaboration among multiple intelligent agents, enhancing the precision and real-time knowledge of applications [5][6] Group 4 - Huawei proposed the RAS concept for AI data center construction, focusing on reliability, agility, and sustainability to address the challenges of increasing computing power demands [6] - The company aims to strengthen core competitiveness and industry ecology by showcasing collaborative development in computing, storage, and green energy supply [6]

Core Insights - Huawei showcased its latest achievements in facilitating the digital transformation of the healthcare industry at CHIMA2025, emphasizing the role of AI technology in enhancing service efficiency and optimizing resource allocation [1] Group 1: AI Solutions - Huawei introduced the DCS AI solution, which includes technologies such as the ModelEngine toolchain, DCS XPU pooling, and AI data lakes to address challenges faced by AI applications [1] - The solution aims to improve model training and inference efficiency, as well as shorten data preparation and application development cycles [1] Group 2: Impact on Healthcare - Partner hospitals have significantly reduced their business launch cycles, leading to improved quality of medical services and patient experiences [1] - Huawei is committed to building an AI ecosystem to promote the digital and intelligent development of the healthcare industry [1]