Group 1 - The core viewpoint of the news is the strategic partnership between Whale Robot and JD Technology aimed at advancing the "AI + education robot" industry through product and technology collaboration, marketing growth, and industry implementation [1] Group 2 - Key attendees at the signing ceremony included senior executives from both companies, highlighting the importance of this collaboration [3] Group 3 - The partnership will leverage JD Cloud's technological advantages to provide stable and efficient cloud services for Whale Robot's products, ensuring smooth experiences in complex scenarios involving high concurrency and large-scale data transmission [5] - Whale Robot will utilize JD Cloud's JoyAgent platform for comprehensive services from agent development to deployment, enhancing the capabilities of their educational robots with advanced AI [5] Group 4 - The collaboration will start with Whale Robot's entry into JD's retail platform, where JD Technology will apply its expertise in digital humans and AI marketing to explore innovative marketing strategies for Whale Robot [7] - The partnership aims to create a replicable and scalable model for the AI + education robot industry by integrating regional collaboration and solution integration, thus accelerating the development of the industry ecosystem [7]

Core Viewpoint - The China Academy of Information and Communications Technology (CAICT) announced the results of the "Trusted Data Circulation Assessment Test," where JD Cloud's Trusted Data Space Service Platform successfully passed the evaluation, highlighting its leading position in the industry for trusted data space platform construction [1][2]. Group 1: Trusted Data Space Platform Features - The platform has a comprehensive trusted space technology architecture that effectively collaborates with access connectors to build the infrastructure for data circulation, supporting regional/industry functional node adaptation and cross-domain trusted data circulation [2]. - It offers efficient trusted computing performance, achieving full-process coverage from data access to computing inference, capable of elastic support for trusted computing at a scale of hundreds of billions of data [2]. - The platform provides multi-scenario integrated data services, ensuring secure circulation and trusted computing of cross-scenario and cross-source data under a "visible but not seen" security paradigm [2]. Group 2: Industry Context and Future Directions - With the rapid development of large models and other technologies, the role of data in enterprise operations, technological innovation, and decision-making is increasingly prominent, necessitating solutions for data resource sharing and privacy protection [1]. - JD Cloud aims to continue deepening its technological advancements in the trusted data space sector, promoting an open and collaborative ecosystem to enhance performance and cost-effectiveness, thereby assisting more enterprises in reshaping AI productivity [2].

Group 1 - Liu Qiangdong criticized that JD has "lost five years" due to a lack of innovation and growth, marking this period as the least distinctive in his entrepreneurial history [1][3] - The company has not introduced any new business models in the last five years, which has led to a decline in its competitive edge against emerging platforms like Pinduoduo and Douyin [3][5] - JD is now focusing on external growth opportunities, particularly in the food delivery sector, to boost its overall GMV and user engagement [5][10] Group 2 - JD's food delivery service has seen significant growth, achieving a daily order volume of 25 million within 90 days of launch, a 150% increase from 10 million [10][14] - The competitive landscape in the food delivery market has intensified, with JD and Alibaba's combined order volume reaching approximately 85 million, challenging Meituan's dominance [13][14] - JD is also exploring the hotel and travel market, aiming to leverage its supply chain capabilities to reduce costs and improve efficiency in this sector [18][22][33] Group 3 - JD's strategy in the hotel market includes a "JD Hotel PLUS Membership Plan" offering up to three years of zero commission, although this is conditional on pricing competitiveness [29][30] - The company aims to differentiate itself by providing supply chain services to the hotel industry, which is currently fragmented and cost-inefficient [32][33] - JD's existing PLUS membership program could enhance its market penetration in the hotel sector by leveraging high customer loyalty and purchasing power [35][36]

Core Insights - The article highlights the transformative impact of AI technology on industries, particularly through the use of commercial intelligent agents like JD Cloud's JoyAgent during the 618 shopping festival [1][2]. Group 1: Commercial Intelligent Agents - The concept of "intelligent agents" is rapidly evolving, with commercial intelligent agents designed specifically for enterprise applications, distinguishing them from general-purpose agents [2]. - JoyAgent integrates deeply into the production chain, allowing employees to focus on strategic goals while the intelligent agent handles execution, creating a new productivity paradigm [2][3]. - JoyAgent's capabilities were demonstrated during the 618 event, where it analyzed vast data streams to predict inventory shortages and generated urgent replenishment plans, significantly reducing procurement time from days to minutes [2][3]. Group 2: Technological Foundation - JD's unique technology matrix, which includes a knowledge base across various sectors and a mixed-agent model, enhances JoyAgent's task handling capabilities, surpassing competitors in benchmark tests [3]. - The integration of JoyAgent into business systems allows for seamless human-machine collaboration, positioning it as a core driver of organizational evolution [3][4]. Group 3: Digital Employees - The emergence of digital employees, exemplified by JoyAgent, is reshaping organizational structures into agile networks that do not rely on traditional hierarchies [4]. - Digital employees are becoming integral to key business functions, enabling human workers to focus on higher-value tasks, thus transforming the value creation logic within organizations [4][5]. - The collaboration between humans and digital employees is likened to a continuous intelligent spiral, merging human creativity with machine execution [4][5]. Group 4: Future Competitiveness - The article posits that the future competitive advantage for companies will hinge on their ability to collaborate effectively with digital employees rather than solely on scale or manpower [5][6]. - The evolution of organizations from physical entities to entities woven from human intelligence and computational power is emphasized, with JoyAgent serving as a testament to this shift [6].

5月30日，农夫铺子发展集团有限公司与京东科技集团在京东集团全球总部正式签署战略合作协议。双方将依托各自在数字技术、产业资源及生态布局领域 的优势，围绕中小微企业数智化转型、云供应链、科技赋能及乡村振兴等共同探索与践行创新合作模式，为实体经济高质量发展注入新动能。 农夫铺子集团董事会主席兼CE0袁道红率核心管理团队出席签约仪式，包括副董事长兼总经理李林祥，技术开发运营部总裁袁野，腾翼云软件事业部总裁周 龙飞，线上业务生态服务中心总裁许青峰，品牌运营部总裁韩宇，集团运营商服务中心总裁刘洋，数智创业就业事业群副总裁张文双等高管及农夫铺子各区 域代表。 京东集团SEC委员、京东科技集团总裁徐丰携京东科技高管团队参会，京东科技集团副总裁、大客户部总经理戢凡峰，京东云Iaas产品部交付负责人崔扬等 共同出席，见证合作启动。 作为中国领先的以供应链为基础的技术与服务企业，京东集团始终站在数字经济发展的最前沿。依托强大的数智化基础设施和创新能力，京东构建了覆盖零 售、物流、科技、健康等多领域的产业生态体系。在人工智能、大数据、云计算等前沿技术领域，京东云已成为中国领先的云计算服务商，为超过百万家企 业提供稳定可靠的数字化服 ...

Group 1 - The core viewpoint of the article highlights that JD Cloud ranks among the top five in the "2024 China Government Cloud Market Vendor Competitiveness Quadrant Analysis" due to its technological innovations and practical achievements in the government cloud sector [1][3] - The report indicates that the Chinese government cloud market is expected to maintain rapid growth, with a market size of 1214.8 billion yuan, reflecting a year-on-year increase of 12.6%. It is projected to reach 1689.9 billion yuan by 2027 [3] - JD Cloud's JDStack proprietary cloud platform is designed to meet the digital government needs, featuring flexible heterogeneous computing power management, comprehensive domestic adaptation, and large-scale scenario validation for enhanced security and stability [3][4] Group 2 - JD Cloud's JoyScale AI computing platform supports fine management of AI computing clusters, enabling intelligent scheduling of heterogeneous computing power to facilitate rapid local deployment of DeepSeek in government cloud applications [4][5] - JDStack achieves unified management across multiple clouds, chips, and active resources, supporting over ten million core resources with second-level scheduling, and is compatible with mainstream chips like X86, Kunpeng, and Feiteng [5] - JDStack has high-level security and stability guarantees, certified by various security standards, and has successfully supported high-concurrency events like JD's 618 and 11.11 sales, ensuring effective support for the digital transformation and innovation needs of government and enterprise sectors [5]

Group 1 - Guangzhou City is launching the "City Partners" initiative, aiming to find partners that align with its urban brand, leveraging the opportunity presented by the 15th National Games and the Special Olympics [2] - A strategic cooperation framework agreement has been signed between Guangzhou Municipal Government and JD Group, focusing on industrial upgrading and digital economy development [2] - The collaboration will include the planning and construction of JD's innovative supply chain operation base in Guangzhou, as well as support for public REITs issuance for JD's logistics and industrial infrastructure projects [2] Group 2 - JD Group will assist in the digital transformation of supply chains for industrial enterprises in Guangzhou and promote smart procurement solutions [2] - The partnership will enhance cooperation in the data industry, establishing an "actual data integration" innovation demonstration platform [2] - Joint projects will include the demonstration application of unmanned delivery vehicles, the development of diverse commercial scenarios, and support for health management systems and smart healthcare initiatives [2][3]

为进一步助力经济高质量发展、提振消费信心，南方都市报近日启动"高品质消费观察"系列专题，聚焦颜值经济、运 动户外、食品康养、智能消电、宠物经济、体验经济、兴趣消费、跨境出海、消费科技九大热门赛道，展开系列调 研、走访和报道。 同时，南方都市报将联合广东连锁经营协会等多个省市的连锁协会成立组委会，举办"2025高品质消费生态大会"，组 委会将从企业品质力、成长性、创新性、社会责任等方面综合评定"2025高品质消费品牌TOP100"。 在筛选入围品牌的过程中，我们发现人工智能在消费领域的创新应用案例已涵盖智能零售、智能客服、智能推荐、智 能物流等多个方面，"AI＋消费"深入供应链的多个环节，助力行业的转型升级。尤其是营销环节，在激活提振消费新 模式新场景，有效促进消费市场提质扩容方面，AI已成为主角。 618前哨战已经打响数日，各大电商平台在营销环节都开始让AI充当主角。其中，淘宝旗下阿里妈妈提出"AI驱动质赢 618"的主张，也就是从定价到宣传创意，再到模拟投放环境，让AI参与商家经营的全流程。 京东云同样宣布，618期间向POP商家开放五大免费AI营销产品，包括直播数字人、商家客服智能体、短视频生成、 京点点 ...

以下文章来源于快鲤鱼 ，作者巴里 快鲤鱼 . 创业邦旗下AGI矩阵号，寻找海内外创新性的AGI高成长公司，记录AGI商业领袖的成长轨迹。 全球AI产业周报 为你精选过去一周（5.17-5.23）最值得关注的AI新闻和 国内外热门AI投融资事件 ，帮助大家及时 了解全球AI市场动向。 本周AI热点资讯 国内大事 脉脉：大模型算法岗位新发平均月薪达70107元 脉脉数据显示， 截至5月22日，小鹏汽车以雇主指数 65671 位列第一，元戎启行（雇主指数 60462）、文远知行（雇主指数59969）紧随其后。智能辅助驾驶领域处于高速发展期，企业正在高 薪招揽高技术人才以提升市场竞争力。小鹏汽车在脉脉发布的"端到端大模型资深算法工程师"岗位年 薪最高达120万元，自动驾驶算法专家岗位年薪最高135万元。 优质企业对技术人才的渴求与日俱增。产业链上下游企业对大模型算法、智驾系统工程师岗位的需求 尤为强烈。从薪资水平看，2025年1月1日-5月20日期间，位列高薪岗位前三的岗位分别是：大模型 算法岗位新发平均月薪达70107元，居行业第一。AIGC算法工程师（69779元）、搜索算法（69342 元）分列高薪榜第二三位。 ...

Core Insights - The application of large models is reaching a critical point, with continuous upgrades to foundational models and the deep application phase beginning, leading to an accelerated explosion in the enterprise market [1][3] - The deployment rate of digital employees will become a standard for measuring a company's advancement, with the ability of AI to complete tasks determining the speed of a company's future growth [3] Group 1: Product Launch and Development - JD Cloud launched nine major products, including an AI computing power platform, a large model development computing platform, and JoyAgent 2.0, aimed at helping enterprises reconstruct their AI infrastructure [1][3] - The "plug-and-play" large model integrated machine has rapidly developed, with over 500 units deployed nationwide in the past three months [3][4] - Three vertical industry integrated machines were introduced, focusing on healthcare, industrial, and financial sectors [3] Group 2: Market Trends and Performance - JD's large model service usage has seen explosive growth, increasing by 200% month-over-month, with over 14,000 intelligent agents operating internally [4] - Various large model applications have penetrated JD's retail, logistics, and healthcare sectors, enhancing efficiency for over 500,000 merchants and more than 380,000 delivery personnel [4] Group 3: Infrastructure and Challenges - The shift towards large model applications presents new requirements and challenges for enterprise infrastructure, necessitating a transition from CPU-centric to GPU-centric architectures [5] - As inference demands surge, the need for computational resources continues to rise, prompting enterprises to consider resource allocation and return on investment [5] - JD Cloud aims to deepen its technological capabilities and expand the boundaries of large model technology, leveraging its internal application experience to create cost-effective solutions for enterprises [5]