数字经济浪潮席卷全球，推动零售乃至各行各业供应链深度重塑。随着跨境电商蓬勃发展与全球消费市 场融合，构建一套敏捷、合规且智能的全球化供应链体系，已成为企业突破增长瓶颈、赢得国际竞争的 关键所在。 12月19日在成都举办的华为云零售峰会2025"企业数智化供应链建设主题论坛"上，金蝶国际业务支持部 业务架构师韩勇分享了金蝶携手华为云，赋能中国企业供应链出海的前沿实践。双方通过云端一体化技 术底座与全球化部署能力的深度融合，正为零售乃至更广泛的企业提供一条可落地、可复制的全球化智 能管理升级路径。 洞察出海之痛：多维挑战构成复杂矩阵 作为全球领先的企业管理云SaaS公司，金蝶凭借多年深厚经验，精准勾勒出中国企业在出海征程中面临 的共性挑战矩阵，这些挑战贯穿于市场进入与运营的全过程： 1.合规与监管复杂：各国在原材料、标签、认证及数据跨境等方面的合规要求复杂多变，违规风险高。 2.跨境物流成本与敏捷性失衡：跨境物流拉长供应链链路，导致成本升高同时敏捷性下降。 3.新兴市场物流基础设施薄弱：新兴市场物流基础设施不完善，影响履约与逆向物流体验。 4.本地化经营与竞争挑战：产品规格、功能与本地化需求的错位，以及来自本土品 ...

Core Insights - Suzhou Rural Commercial Bank, in collaboration with Huawei, has completed a significant transformation of its core system using Huawei's GaussDB database and OceanStor Dorado all-flash storage, marking a key step for regional banks in China [1][3] - The core database is identified as the "heart" of financial IT systems, essential for digital transformation, with a focus on self-innovation, high availability, and performance [1][3] - The bank's core system has achieved a smooth transition from traditional commercial databases to GaussDB, supporting daily transaction volumes of tens of millions, with system performance improved by over 40% and recovery times reduced to seconds [5][7] Industry Challenges and Solutions - The financial industry faces three main challenges: accelerated business iteration requiring higher system elasticity, frequent security threats necessitating stronger architecture, and regulatory and cost pressures driving efficient infrastructure evolution [3] - Huawei emphasizes the need for a self-innovative core database system to maintain development control, proposing the "GaussDB + separation of storage and computing" architecture as a solution [3] Practical Implementation and Recommendations - A white paper released during the event outlines the technology selection, deployment models, and risk control points for regional banks undergoing transformation, recommending a "gradual replacement + dual-active disaster recovery" strategy [5] - Jiang Wei, Assistant General Manager of the Financial Technology Department at Suzhou Rural Commercial Bank, highlighted the successful implementation of a dual-active deployment model, which enhances system resilience and operational efficiency [5][7] Broader Implications - The experience shared by Suzhou Rural Commercial Bank serves as a model for small and medium-sized banks, balancing security, performance, and cost-effectiveness in their transformation efforts [7] - The collaboration between Huawei and Suzhou Rural Commercial Bank is expected to provide a valuable reference path for regional banks in their self-research transformation and digital competitiveness [7]

Core Viewpoint - The article highlights the decline of Oracle in the Chinese market, emphasizing that the company, once dominant, has been rejected by Chinese enterprises due to its exploitative practices and refusal to collaborate with local talent [1][3][4]. Group 1: Oracle's Historical Presence in China - Oracle established a strong foothold in the Chinese market during the 1980s and dominated the database sector for over 30 years, leveraging its advanced software technology [1][3]. - The company exploited the Chinese market by imposing high service fees and creating technical barriers that hindered the development of local companies [3]. Group 2: Response from Chinese Tech Giants - Chinese tech giants like Alibaba and Huawei have emerged as formidable competitors, developing their own database solutions such as OceanBase and GaussDB, which have surpassed Oracle in performance and security [3][4]. - The rise of these domestic technologies signifies a shift towards self-reliance in China's tech industry, breaking the long-standing technical monopoly held by foreign companies [4]. Group 3: Implications of Oracle's Withdrawal - Oracle's decision to close its research center in China marks a significant turning point, indicating that the company can no longer sustain its operations in a market that has evolved beyond its control [3][4]. - This event is portrayed as a victory for China's technological independence and a warning to foreign companies that they must respect and collaborate with local markets to succeed [4].

Core Perspective - Oracle's decline in the Chinese market illustrates the risks of complacency and neglecting local talent development after a long period of market dominance [2][28]. Group 1: Market Entry and Dominance - Oracle entered the Chinese market in the late 1980s, capitalizing on the demand for advanced information technology during China's reform and opening-up period [4]. - The company quickly established a monopoly in the database market, with enterprises paying substantial software and service fees, sometimes reaching hundreds of millions annually [5][8]. Group 2: Business Practices and Employee Treatment - Over time, Oracle's business practices became increasingly aggressive, with exorbitant pricing and mandatory maintenance fees, leading to strained relationships with clients like China Unicom [7][10]. - The company's founder publicly stated a refusal to train Chinese employees, creating a culture where local staff were relegated to menial tasks, while key technical roles remained occupied by foreign employees [12][14]. Group 3: Rise of Domestic Competitors - Discontent among Chinese enterprises led to a surge in domestic database development, with Alibaba, Huawei, and Tencent launching competitive products that outperformed Oracle's offerings at lower prices [16][19][21]. - The Chinese government's push for information technology localization and data security further accelerated the adoption of domestic databases, as critical sectors sought to reduce reliance on foreign technology [23][24]. Group 4: Oracle's Decline - Oracle failed to adapt to market changes, clinging to outdated technology while competitors embraced cloud computing and big data [26]. - A significant layoff in 2019, where over 900 employees were let go, signaled Oracle's retreat from the Chinese market, further confirmed by the removal of its database from key systems by major clients like Taobao [26][28].

Core Insights - Huawei Cloud has launched upgraded AI cloud services and solutions, focusing on building a robust multi-modal computing infrastructure to address challenges in AI deployment [1][2] - The company aims to enhance its AI cloud services by restructuring its AI infrastructure, focusing on computing foundation, resource scheduling, inference services, and cluster reliability [1][2] - Huawei Cloud's GaussDB has improved its distributed performance by 50%, offering PB-level data management capabilities and enhanced security features [2] Group 1 - Huawei Cloud introduced new products including Ascend AI cloud services, CodeArts software development line, MetaStudio digital content production line, and GaussDB database [1] - The company is addressing the challenges of the AI model era, which include high demand for computing power and data management, by upgrading its AI cloud services [1][2] - The Ascend AI cloud service is now compatible with over 160 mainstream large models and serves more than 600 enterprises [3] Group 2 - GaussDB's enhancements include a 10x increase in online expansion speed and the introduction of GaussRecorder for database security [2] - Huawei Cloud has established a comprehensive cloud-native security system with multiple layers to ensure data integrity and compliance [2] - The CodeArts development line has improved end-to-end development efficiency by 30%, while MetaStudio has delivered over 10,000 digital personas through a simplified integration process [2]

Core Insights - Huawei Cloud has launched a series of upgraded products and solutions including Ascend AI Cloud Services, CodeArts, MetaStudio, DataArts, and GaussDB to enhance its cloud offerings and address the challenges of AI implementation [1] Group 1: AI Infrastructure and Services - Huawei Cloud introduced the new generation of Ascend AI Cloud Services based on the CloudMatrix384 super-node cluster, providing large-scale, high-performance, and reliable AI computing power to meet complex model training and inference needs [2] - The GaussDB database has been upgraded to enhance its distributed performance by 50%, offering PB-level data management capabilities and a tenfold increase in online expansion speed [2] - Huawei Cloud has established a comprehensive cloud-native security system with multiple layers to ensure data security and compliance, launching four major security solutions including an end-to-end large model security solution [2] Group 2: Software Development and Support - The CodeArts toolchain has been enhanced to improve end-to-end development efficiency by 30%, covering various intelligent scenarios such as code generation, inspection, and testing [3] - Huawei Cloud supports Sina Weibo's product upgrades and innovations, providing robust elastic scaling capabilities during peak traffic periods and improving cluster utilization by 40% [3] - The Flexus enterprise large model application solution has been introduced to lower the barriers for small and medium-sized enterprises to utilize large models, significantly enhancing reliability and user experience [3]