Core Insights - The core theme of the China Wealth Management 50 Forum 2025 Annual Meeting is "Towards the Construction of a Financial Power during the 14th Five-Year Plan" [1] AI Application in Finance - AI applications in the financial industry are transitioning from the "usable" stage to the "useful" stage, with 90% of success depending on engineering capabilities [3][8] - The development of large models is entering the "Agentic" era, where AI will autonomously complete tasks and create business value [3][8] - AI will lead to structural changes in financial institutions, reshaping competitive barriers in five key areas: 1. Redefining traffic entry points from passive app clicks to proactive intent recognition through intelligent services 2. Redefining financial products and services for deep customization 3. Restructuring the entire user journey to make financial services more inclusive 4. Redefining operational objects and forms, with intelligent assistants becoming the main channel influencing customer mindset 5. Ultimately affecting talent and organization, moving towards a "human-machine coexistence" state [3][8] Huawei's AI Strategy - Huawei's financial AI strategy aims to support the industry in moving from "usable" to "useful," providing a full-stack capability from advanced Ascend computing power to a one-stop AI development platform (ModelArts) and an intelligent agent development and operation platform (Versatile Agent) [3][8] - The strategy includes talent training courses and focuses on three typical scenarios co-created with leading financial institutions [3][8] Specific Use Cases - In mobile banking app scenarios, Huawei uses models like Pangu 7B to enhance service accuracy to over 95% while optimizing computing power and reducing costs, achieving end-to-end latency under 2 seconds [4][9] - In intelligent risk control scenarios, the core solution involves converting expert experience into "thinking chain" data and using large models with "slow thinking" capabilities for reinforcement learning, ensuring real-time updates and high accuracy of risk control models [4][9] - For report generation (applicable to credit and investment research), an innovative "Deep Research" development paradigm allows intelligent agents to automatically organize tasks and generate high-quality reports through repeated interactions with external data sources and knowledge bases [4][10] Engineering Challenges and Recommendations - The financial industry, characterized by strong regulation and high standards, faces challenges in engineering rather than merely applying generic models or external knowledge bases [5][10] - To address systemic latency, accuracy, humanization, and cost issues, strong dynamic business orchestration capabilities are required, along with complex model tuning, intelligent agent tuning, system integration, and full-link monitoring [5][10] - Eight recommendations for financial institutions include: 1. AI should be a company-level strategy led by top management 2. Business departments must deeply participate in building integrated teams of technology, business, and data 3. Focus on "useful" applications rather than "showcase" applications, paying attention to actual usage metrics 4. Adopt diversified models and open architectures 5. Combine engineering experience from professional fields 6. Build enterprise-level AI pipelines and regulatory-compliant governance systems 7. Develop high-quality datasets 8. Recognize that 90% of success depends on engineering capabilities [6][10]

岁末年初，是盘点与展望的时刻。过去一年，"AI"堪称是中国乃至全球产业的核心关键词。 存储领域的突破，则解决了数据"存得下、用得好"的核心难题。上海广播电视台（SMG）为了全面布局超高清生态，携手华为打造覆盖"采、传、存、 制、发"全链路的数智化底座，通过IP化制播、超高清存储与AI赋能，既为市民呈现卓越超清视界，更向全球输出具有示范意义的"上海方案"。其中在存 储方面，SMG依托华为OceanStor Pacific分布式存储打造的超高清制播数据湖，不仅能安全、高效地承载海量视频、图片及素材，更通过技术创新支持制 作人员高效处理与输出内容，为创意迸发筑牢了"数字基座"。 Gartner预测到2026年，将有超过80%的企业使用生成式AI的API或模型，或在生产环境中部署支持生成式AI的应用，而在2023年初这一比例不到5%。 在这样的时代背景下，高举行业智能化大旗的华为，在2025年交出了一份沉甸甸的答卷，展现出行业智能化落地的清晰路径。这不仅是华为的实践总结， 更成为千行万业跨越AI"落地鸿沟"的行动指南。 基建筑基： AI Ready底座，筑牢数智化"地基" 行业智能化的本质，是数据驱动的价值重构。而要 ...

Group 1 - The core theme of the event is the deep integration of AI and manufacturing, with Huawei leading the charge in innovation and practical applications [2][32] - The conference aims to explore the latest trends in AI and manufacturing, discussing pathways for industrial upgrades and transformations [1][2] - Chongqing is positioned as a significant modern manufacturing base in China, with a focus on building a robust AI-enabled manufacturing ecosystem [4][25] Group 2 - Huawei emphasizes a comprehensive approach to AI empowerment in manufacturing, from top-level methodologies to foundational technical support [2][32] - The "AI + Manufacturing" strategy is highlighted, aiming to create a complete pathway for intelligent upgrades across various industries [2][32] - The event showcases Huawei's commitment to fostering collaboration with local enterprises and partners to enhance the digital transformation of the manufacturing sector [24][25] Group 3 - The "Tian Gong Huan Xin" action plan in Chongqing aims for full digital transformation of industrial enterprises by 2027, with a focus on AI integration by 2029 [8][9] - Key principles include a comprehensive approach to digital transformation across the entire supply chain, with a focus on industry-specific strategies [8][9] - The plan also emphasizes financial support and the cultivation of professional service providers to facilitate the transition [9] Group 4 - Huawei's strategy includes a dual approach of horizontal systematic construction and vertical scenario breakthroughs to accelerate the intelligent transformation of enterprises [11][14] - The focus is on integrating AI into core production systems, moving from efficiency enhancement to value creation in manufacturing processes [14][15] - The collaboration with partners aims to build a data-driven management system that supports AI applications across various manufacturing stages [24][25] Group 5 - The unveiling of the "Sailis Super Factory Smart Park" represents a significant milestone in Huawei's "AI + Manufacturing" strategy, showcasing successful collaboration outcomes [18][19] - Long-term partnerships with companies like Sailis and Chang'an Automobile are aimed at driving the transition from traditional manufacturing to smart manufacturing [20][21] - The event included practical demonstrations of smart manufacturing solutions, enhancing understanding of AI integration in real-world scenarios [28][29]

9月5日，2025世界智能产业博览会期间，华为中国行2025·重庆AI+制造行业大会同步启幕。此次大会汇聚了政府部门、重庆及全国的制造业企业管理者、技 术专家、行业伙伴等现场参会，共探AI与制造深度融合的前沿趋势，共商产业跃迁升级的实践路径。 华为中国 重庆市委常委，两江新区党工委书记 行2025·重庆AI+制造行业大会现场 AI与制造业的融合已然步入深水区，作为兼具制造基因与数字技术优势的行业引领者，华为如何以创新与实践助推这一进程？华为中国行2025·重庆AI+制造 行业大会上，基于"源于制造 更懂制造 服务制造"的理念，华为从顶层方法论到底层技术支撑，从场景化解决方案到开放协同的生态建设，加速为千行万业 铺就一条以AI赋能智能化升级的完整路径。 重庆市委常委，两江新区党工委书记罗蔺在致辞中向出席大会的专家学者和企业家表示热烈欢迎。罗蔺说，重庆是我国重要的现代制造业基地，应用场景丰 富、产业生态优良，正加快构建"33618"现代制造业集群体系和"416"科技创新布局，大力推进数字重庆建设，创新推动AI赋能千行百业，加快"AI+制造"场 景应用拓展，构建"产业大脑+未来工厂"新模式，形成涵盖"基础硬件—核心 ...

Group 1 - The integration of AI in supermarkets is transforming the shopping experience, with features like AI shopping assistants, smart scales, and instant delivery services becoming commonplace [1][2] - The sp@ce Tianhong Supermarket 3.0 in Longgang District, Shenzhen, showcases advanced AI capabilities, including an AI assistant named "Xiao Tian" that provides product recommendations based on customer preferences [1][3] - The collaboration between Tianhong and Huawei has led to the development of a "smart retail model," enhancing customer experience through AI-driven recommendations and efficient checkout processes [1][3] Group 2 - Modern urban consumers prioritize health and convenience, leading to supermarkets like Aeon SM dedicating over 60% of their space to fresh produce and offering traceability for food products [2][3] - Self-checkout areas in Aeon SM stores have increased efficiency, with over 60% of transactions now conducted through self-service, significantly reducing wait times for customers [2][3] - The sp@ce Tianhong Supermarket promotes "small portion economy" to cater to single and small-family households, offering smaller packaging options to minimize waste [2][3] Group 3 - Digital tools are enhancing operational efficiency in supermarkets, with employees using handheld devices for inventory management and customer service, leading to quicker restocking and improved customer satisfaction [3] - Both Aeon and Tianhong are leveraging customer relationship management (CRM) systems to analyze member data, optimizing product offerings and personalized promotions [3] - The integration of AI across various operational aspects, from AI shopping assistants to supply chain management, is driving a shift towards data-driven retail practices [3]

Core Viewpoint - The event in Guangzhou highlighted advancements in artificial intelligence and robotics, showcasing significant contributions from Shenzhen-based companies like Huawei, Tencent, and others in the fields of computing chips, large models, industry applications, and robotics [1] Group 1: M-Robots OS Launch - Shenzhen Kaihong Digital Industry Development Co., Ltd. launched the first open-source multi-machine collaborative robot operating system in China, M-Robots OS 1.0, marking a new phase in robot operating systems focused on collaborative intelligence [2] - The CEO of Shenzhen Kaihong emphasized the challenges in the global robotics industry, including ecosystem fragmentation and high development costs due to incompatible hardware and software [2] - M-Robots OS offers four differentiated capabilities: real-time collaboration, multi-hardware compatibility, AI-native support, and low-threshold development, with plans for commercial testing in industrial production lines by 2025 [2] Group 2: Robotics Applications Expansion - Shenzhen-based company Leju announced the delivery of its 100th full-size humanoid robot in January, with delivery volume doubling by March, aiming to establish benchmark applications in industrial quality inspection and power inspection [4] - Leju and Shenzhen Kaihong are collaborating to create a talent cultivation platform for humanoid robots, focusing on various educational levels to foster innovation and development in the open-source ecosystem [4] - Two humanoid robots, Aelos Kaihong version and "Kua Fu," were introduced, targeting education and research applications, respectively, and promoting cross-domain collaboration in robotics [4] Group 3: AI and Large Models - Tencent is set to launch the official version of its advanced model, Mix Yuan T1, which is designed to facilitate the application of robots in various scenarios [5] - Tencent has engaged in collaborations with over 40 domestic robotics companies, nearly 20 of which are based in Guangdong province, to support the practical application of robotics [5] - Huawei's marketing director revealed that over 80 partners have built large model application integrated machines based on Huawei's Ascend computing platform, which are currently in use across 200 enterprises [6]