8月21日，"丝路芯核，智绘新金融"区域银行核心转型天山主题活动在乌鲁木齐举行，30余家城商行、 农商行、农信社等区域金融机构代表齐聚天山脚下，共话金融机构数字化转型。活动现场，乌鲁木齐银 行分享了核心系统转型升级实践及与华为等核心项目群共建单位在技术攻坚和场景共创的历程。乌鲁木 齐银行基于华为云Stack的分布式新核心系统上线投产将加速科技创新的脚步，适时推出更多具有地域 特色的金融产品，助力新疆本地产业升级、促进经济发展，为行业提供了核心上云的新参考实践。 从集中式架构到分布式云化架构，区域银行转型的必由之路 区域银行核心转型提速，多机构深化上云实践 活动现场，杭州银行、吉林银行、天津滨海农商行等多家区域银行围绕技术难点攻关到业务场景融合等 方向分享了核心上云实践，从分布式架构搭建到云原生技术应用，从核心系统稳定性保障到场景化服务 创新，各家机构虽路径不同，却共同验证了核心上云对业务敏捷性的关键价值。这些实践沉淀出可复制 的转型方法论，加速整个行业向更智能、更具韧性的数智化阶段迈进。 华为混合云副总裁、产品管理部部长徐强 铸造智能韧性，加速金融核心业务创新 在过去金融科技快速发展的黄金十年，很多金融机构逐 ...

Core Insights - Nanjing Steel Co., Ltd. (Nanjing Steel) is leveraging advanced digital and intelligent technologies to transform its operations and enhance its competitiveness in the steel industry [1][2][4]. Group 1: Digital Transformation Initiatives - Nanjing Steel has initiated a comprehensive data governance program, achieving over 90% core data asset integration into a centralized data lake, and became one of the first listed companies in China to report digital assets exceeding 10 million yuan in 2024 [2]. - The company launched a three-year action plan called "Artificial Intelligence Hundred Scenes Thousand Models," collaborating with Huawei to build a vertical model base for the steel industry, facilitating real-time data flow and algorithm iteration [2][4]. Group 2: AI Applications in Production - Nanjing Steel has implemented an intelligent peak-valley optimization scheduling system, which improved energy utilization efficiency by 4.24 times, generating an additional 6.55 million kWh of electricity in 2024 [4]. - The company has enhanced the mechanical performance prediction of carbon-manganese low-temperature steel, increasing product performance qualification rates by over 1.5% through advanced data analysis and real-time monitoring [5]. - An AI-driven coal blending system has reduced the blending time from 1-2 days to 1-2 minutes, lowering the cost of coke by 5-10 yuan per ton [7]. Group 3: Quality Control and Process Optimization - Nanjing Steel has developed a new AI prediction engine for rolling force, enabling rapid modeling and high-precision predictions across various steel grades and conditions [7]. - The implementation of AI visual models for quality inspection has significantly improved defect detection capabilities, addressing challenges related to sample scarcity and variability [7][9]. Group 4: Future Directions and Collaborations - The collaboration with Huawei Cloud Stack is not only a technological partnership but also aims to establish a new paradigm for industrial intelligence, reflecting the broader transformation of the Chinese steel industry [9][10].

Core Insights - The summit focused on the theme "Huawei Cloud Stack, Understanding Government and Enterprise in the Intelligent Era," highlighting the importance of AI technology in driving digital transformation for government and enterprise clients [1] - Huawei Cloud aims to enhance its AI cloud service products and solutions, collaborating with clients to implement AI technology across various business scenarios [1][3] - The company recognizes the diverse needs of government and enterprise users, categorizing them into four distinct roles to better tailor its offerings [4] Group 1: AI and Digital Transformation - Government and enterprise clients are increasingly adopting AI technologies for applications such as smart customer service, process optimization, safety supervision, and digital marketing [1] - Huawei Cloud's mixed cloud solutions are designed to support the digital transformation needs of these clients, providing over 120 cloud services and more than 50 scenario-based solutions [3] - The company emphasizes the importance of leveraging vast amounts of industrial, financial, and public data in China to foster AI industry growth [3] Group 2: User-Centric Approach - Huawei Cloud Stack has developed a comprehensive approach to support different user roles, including data center engineers, data engineers, AI algorithm model application engineers, and application development engineers [4] - The company is set to launch a mixed cloud solution compatible with CloudMatrix 384 super nodes, enabling clients to have their own cloud super nodes locally [4] Group 3: Case Studies and Applications - Xiangtan Steel Group, in collaboration with Huawei, launched the world's first steel industry large model, establishing a unified AI training center to enhance operational efficiency [5] - Chengdu Urban Investment Digital Group is building a trusted data space to empower the city's digital transformation, focusing on data integration and new business models [6] Group 4: Future Directions and Innovations - Huawei Cloud Stack is enhancing its capabilities in large model mixed cloud solutions, addressing challenges in computing power management and AI toolchain development [7] - The release of the white paper on "Government and Enterprise AI Platform Architecture and Application Practices" aims to provide a reference framework for clients to plan their AI platform construction effectively [7]

Core Viewpoint - Huawei Cloud Stack aims to provide a hybrid cloud solution that better understands the needs of government and enterprise users in the era of intelligence, focusing on AI integration and data utilization [1][3]. Group 1: Huawei Cloud Stack Features - Huawei Cloud Stack will become the first hybrid cloud to adapt to CloudMatrix 384 super nodes, enabling enterprise customers to have their own cloud super nodes locally, enhancing AI computing power for intelligent transitions [3]. - Currently, Huawei Cloud Stack offers over 120 cloud services and more than 50 scenario-based solutions, maintaining the leading market share in the hybrid cloud sector across government, finance, and manufacturing for several consecutive years [3][4]. Group 2: User Segmentation and Solutions - Huawei Cloud Stack recognizes that government and enterprise users are not a monolithic group but can be categorized into four distinct roles: data center engineers, data engineers, AI algorithm model application engineers, and application development engineers [3][4]. - The platform supports users throughout the entire cloud lifecycle, from building to managing cloud resources, enabling efficient resource allocation, data governance, model training, and application development [4]. Group 3: Case Studies - In finance, Huawei Cloud Stack helped a state-owned bank establish a unified computing power platform, allowing data center engineers to deploy 106 DeepSeek R1 instances in just two days, improving efficiency by 70% compared to traditional bare-metal deployments [4][5]. - In manufacturing, Huawei Cloud collaborated with XCMG to create a robust big data platform, enhancing data analysis efficiency and enabling value extraction from operational data of construction machinery [4][5]. - In the steel industry, Xianggang utilized Huawei Cloud Stack to develop a one-stop AI development platform, achieving quality improvement and cost reduction through the deployment of a steel model across over 30 scenarios [5]. - In the energy sector, CNOOC implemented CodeArts to develop a digital platform, reducing development time by 30% and streamlining the deployment of intelligent oilfield management systems from one week to one day [5].