大会接连发布多项推动中小企业数智化转型的举措。中国科学院紫东太初与佛燃集团、海天味业 （603288）等企业以及佛山市人工智能应用赋能中心签订战略合作协议；模界.企业人工智能应用商城 等平台新上架超300个小模型及解决方案；发布"老师傅"工业大模型，内置10余个行业知识库，接入超 200个模型，囊括600+TB工业语料库，上线智能体超100个。 会上还举行了人工智能联合创新项目启动仪式，发布了佛山自研智能体——腾一科技.土豆鸟智能体、 灵泽万川AGENTBOX，丰富佛山AI赋能的"工具箱"。 压轴环节，佛山市产业互联可信数据空间平台建设正式启动，其是全国首个服务城市级产业集群的产业 互联网平台，是由市工业和信息化局、市政务和数据局主导，市人才数科集团建设管理的数智底座全栈 平台，支持各子平台在底座平台的统筹下实现功能和数据的大贯通。 推进会上，市工业和信息化局局长宋树龙以数字人形象进行推介。未来，佛山将聚焦覆盖广度、转型深 度、施策精度，围绕智能家居和高端装备两个行业开展试点工作。南都记者注意到佛山新一轮中小企业 数字化转型专项补贴对最高投入使用(不含税)的30%进行奖励，最高奖补50万元。 值得注意的是，中 ...

Summary of Yunding Technology Conference Call Company Overview - **Company**: Yunding Technology - **Industry**: Smart Energy, Artificial Intelligence, Chemical Industry, Power Industry Key Points and Arguments Strategic Focus and Market Expansion - Yunding Technology aims to enhance market competitiveness through integrated marketing, establishing a marketing center, and forming a sales team of over 100 people, focusing on the artificial intelligence sector and collaborating with major companies like Huawei and Tencent Cloud to build a marketing network [2][4] - The company is concentrating on the smart energy industry, leveraging new productivity and AI opportunities, and expanding into chemical and power sectors, particularly making progress in large models for the chemical industry [2][4] Financial Performance - In 2024, Yunding Technology achieved a revenue of 1.351 billion yuan and a net profit of 92.74 million yuan. In Q1 2025, the revenue was 309 million yuan with a net profit of 31.46 million yuan. The performance in 2025 has been affected by declining coal prices and project acceptance issues [4][12] Product Development and Innovation - The company is continuously optimizing its smart mining products, upgrading artificial positioning systems, and advancing ecological cooperation and domestic research and development, with discussions with Huawei for product development and certification [2][5][6] - Yunding Technology has developed over 160 application scenarios in the coal mining sector, despite the impact of coal prices on customer investment willingness [2][12] Marketing and Sales Strategy - In 2025, Yunding Technology established a marketing center to unify marketing resources and has seen success in new markets such as Ningxia, Guizhou, and Yunnan. The company is now directly engaging with major mining groups rather than individual coal mines [7][8] Economic Management and Cost Control - The company is focusing on cost reduction, improving cash flow, and exploring policy incentives to enhance operational efficiency. It aims for both organic growth and external acquisitions, with plans to amend company bylaws to address long-term non-dividend issues [6][16] Industry Insights and Competitive Landscape - The chemical industry is experiencing a push for information technology improvements, particularly in safety monitoring, supported by government funding. However, competition is fierce in safety-related information technology, while areas requiring higher technical expertise, such as process optimization, face less competition [9][11] Collaboration and Partnerships - Yunding Technology is closely collaborating with Huawei on industrial large model development, with a focus on the chemical industry. They have signed agreements for joint product development and are exploring the creation of an underground slicing network [3][14] International Expansion - The company is expanding its overseas business through partnerships with state-owned enterprises, participating in "Belt and Road" projects, and has completed a significant intelligent construction project in Inner Mongolia [15] Human Resources and Cash Flow Management - Yunding Technology plans to increase its workforce from 1,200 at the end of 2024 to over 1,300 by the end of 2025, primarily in marketing and new energy sectors. The company has improved its accounts receivable collection, with a recovery rate of approximately 60%-70% [16][17] Future Communication Plans - Yunding Technology will arrange opportunities for in-depth communication with investors following the release of its semi-annual report [18]

南都讯 扎根深圳特区四十载，中兴通讯与这座城市同频共振，创新基因已然深深镌刻在其发展脉络之 中。从昔日的来料加工小厂起步，到成为全球领先的综合信息与通信技术解决方案提供商，从2G跟 随、3G突破、4G并跑到5G领跑的华丽转身，背后支撑高质量发展的"核心密码"是什么？近日，由深圳 市委宣传部策划的高质量发展调研行走进中兴通讯，探秘其成长"密码"。 "将最难的事情做到最好" "将最难的事情做到最好"，这不仅是中兴通讯的一句口号，更是其发展历程的真实写照。走进位于南山 区的中兴通讯股份有限公司总部展厅，仿佛置身于一个充满未来感的科技世界。琳琅满目的5G基站、 数字化场景及智能手机等各类信息通信产品和服务映入眼帘，这些创新成果早已经融入全球用户的日常 工作与生活。如今，中兴通讯的业务版图已拓展至160多个国家和地区，为全球超过三分之一的人口提 供服务。 时光回溯到改革开放初期，彼时的深圳掀起经济建设的新高潮，但落后的通信基础设施却如同一道枷 锁，严重制约着经济的进一步发展。"打电话难、装电话难"成为当时社会普遍面临的难题。在此背景 下，1985年，中兴通讯在深圳这片充满创新活力的热土上应运而生，凭借"一根电话线"开启 ...

"要么与AI同进化，要么被AI边缘化"。6月26日，在2025年夏季达沃斯论坛现场，海尔集团董事局主 席、首席执行官周云杰表示，未来50年将是人工智能重塑产业格局的关键时期。AI不仅是技术变革， 更是一场思维方式的重构，企业必须从战略、组织、流程等多个维度进行调整，全面、全员、全流程地 拥抱AI。新时代的企业家应具备更强的创新精神和责任担当，主动拥抱变革，推动经济高质量发展。 做实干家 创新是海尔发展的基因。在周云杰眼中，"创新"不是抽象的概念，而是具象的每一个决策、每一项举 措、每一次行动，是每一位科研工作者的日常。 1988年夏天，刚从华中科技大学毕业的周云杰，怀揣着"愿做中国制造的螺丝钉"的朴素信念，踏入青岛 电冰箱总厂的大门。他没有选择相对轻松的办公室岗位，而是在到厂不久后就主动申请到条件艰苦的冰 箱二厂当学徒。 在当学徒的日子里，周云杰每天早上6点便到车间，跟着老师傅学习"拧螺丝"。为了掌握不同型号冰箱 拧紧螺丝所需的最佳力度，他随身携带笔记本，记录每一次操作后的部件稳定性反馈，反复试验上千 次。三年如一日的坚持，让他不仅对冰箱生产的200多道工序烂熟于心，更培养出一眼就能看出工序问 题的"火眼金睛 ...

《意见》明确，拓展重点产业应用。支持汽车企业提升整车和零部件工业设计能力。引导整车企业 加强供应链管理，发展汽车金融、智能辅助驾驶、维修保养、回收利用等服务，探索汽车全生命周期管 理。支持企业研发工业大模型，面向故障分析、流程工艺优化等需求提供定制化解决方案。加快人工智 能在制造服务各环节全面应用，探索基于人工智能的全生命周期管理。推动人工智能领域科技服务平台 建设，探索平台验证、协同开发。 本报合肥7月4日电（记者田先进）近日，安徽省政府办公厅印发《关于推动先进制造业和现代生产 性服务业深度融合发展的实施意见》（以下简称《意见》），促进先进制造业向高端跃迁、现代生产性 服务业加速发展，加快构建现代化产业体系。 《意见》提出，探索两业融合路径。大力发展研发设计、技术转移、科技金融、科技咨询、知识产 权等服务，提升概念验证、中试验证、产业孵化能力，构建覆盖产业创新全链条的科技服务体系。加强 制造业企业创新能力建设，打造一批制造业创新中心和企业技术中心，开展长三角科技创新共同体联合 攻关。引导企业聚焦客户需求实现和产品价值提升，围绕产品概念定义、形态结构、功能性能、用户体 验、品牌形象开展综合设计，推动产品设计与 ...

Core Insights - The article discusses the transition of large models from a focus on parameter competition to a practical application in various industries, emphasizing the importance of integrating technology into real-world scenarios [1][2][10] - Companies are increasingly adopting vertical large models tailored to specific industries, moving away from generic models that lack depth in specialized fields [2][4][10] Group 1: Industry Trends - Leading companies are accelerating the penetration of large models into vertical industries, with examples including Huawei Cloud in steel manufacturing and Alibaba Cloud in mining [2][4] - The shift from "showcasing technology" to "practical application" is evident, as companies seek to address real business challenges rather than merely pursuing technical advancements [2][4][10] Group 2: Case Studies - The "Lingzhu Zhigong" model developed by Ningxia Jiaojian demonstrates a significant improvement in efficiency, achieving a 40% higher accuracy in specialized tasks compared to generic models [5][7] - Financial institutions are also benefiting from large models, with over 50% of China's top 100 banks partnering with Zhongguancun KJ to enhance service efficiency [7][8] Group 3: Strategic Approaches - Zhongguancun KJ's "platform + application + service" strategy aims to provide a comprehensive framework for the implementation of vertical large models, ensuring they are integrated into core business operations [9][10] - The focus on building cross-disciplinary teams and accumulating high-quality data is crucial for the successful deployment of AI technologies in various sectors [6][9] Group 4: Future Outlook - The integration of vertical large models is expected to transform industries by enhancing operational efficiency and driving innovation, marking a significant shift from experience-driven to data and AI-driven approaches [9][11] - The article concludes that the ongoing efforts in smart transformation will position the Chinese industry on a path toward high-end, intelligent, and green development [11]

1.《 Shippeo领导层任命与市场定位 》摘要 ■ 全球领先的实时多模式运输可视化（RTTV）公司Shippeo宣布任命Brandon Oliveri-O'Connor为 首席营收官（CRO），Ben Douglass为首席营销官（CMO）。 ■ 他们曾在Procore担任关键职务，并帮助该平台从5,000万美元的年经常性收入（ARR）增长到10亿 美元。 ■ Oliveri-O'Connor和Douglass带来了在复杂行业中扩展SaaS公司的丰富经验，特别是在欧洲、英 国和中东市场。 ■ 预计他们的加入将推动Shippeo的增长，尤其是他们在理解行业挑战和利用技术解决这些问题方面 的专长。 ■ 在新领导团队的推动下，Shippeo计划进一步提升其市场领先的运输可视化平台，改善客户体验， 并继续构建具有韧性和可持续性的供应链。 ■ Shippeo的网络与超过22.8万家承运商及1,100个运输管理系统（TMS）、遥测和电子驾驶日志 （ELD）系统集成，平台每年跟踪超过9,000万次货运，覆盖150个国家。 2、《115.6亿元并购过会！TCL科技收购华星半导体21%股权》摘要 ■ TCL科技拟通过现金及 ...

人形机器人流畅转身，向四周的人群挥手问好；智能机器人在宣纸上悬腕提笔，行云流水地写下"专精 特新"四个大字；搭载仿生嗅觉芯片的黑色机器狗，灵动地跃过40cm高台，在模拟危化品泄露场景中精 准识别丙酮气体…… 这些"赛博"感十足的场景，并非出自科技巨头之手，而是来自一群充满创新活力的中小企业。 6月27-30日，第二十届中国国际中小企业博览会（简称"中博会"）上，来自50多个国家和地区的超2000 家企业参展。其中，一批中小企业携带着科技新品亮相，以卓越的创新能力和技术实力，充分展现出中 小企业在科技创新领域的巨大潜力和无限可能。 当前，中小企业在我国经济社会发展中扮演着日益重要的角色，他们成为创新生态的关键一环。与此同 时，随着人形机器人技术的多点突破以及人工智能大模型等在全球范围内的火爆，中小企业既迎来了前 所未有的发展机遇。 其中，机器人"专精特新"军团成焦点。中博会开幕首日，国家级专精特新"小巨人"越疆科技重磅发布 CR 30H新品——行业首款兼具30kg大负载与300°/秒高速的协作机器人，成功破解了工业机器人领域"大 负载"与"高速度"难以兼顾的长期难题。 "传统30kg级机器人关节速度普遍低于20 ...

Core Viewpoint - The government report emphasizes the continuous promotion of the "Artificial Intelligence +" initiative, aiming to better integrate digital technology with manufacturing and market advantages, and supports the widespread application of large models [1] Group 1: AI Integration in Coal Industry - Yunding Technology focuses on technological innovation as the primary driver for high-quality development, implementing the "Artificial Intelligence +" initiative to enhance intelligent mining construction [1] - In 2022, Shandong Energy Group, Yunding Technology, and Huawei established a joint innovation center to develop an industrial large model with capabilities in vision, prediction, NLP, and multimodal processing, achieving a 9% increase in accuracy and a 15% increase in recall rate [1] - The development has led to 126 typical application scenarios across various industries, resulting in 52 patents, 38 software copyrights, and 15 papers, with the AI model recognized as internationally leading by the China National Coal Association [1] Group 2: Safety and Efficiency Improvements - Utilizing large model visual capabilities, Shandong Energy Group has implemented intelligent monitoring in key processes, significantly reducing accident rates and enhancing safety production efficiency [2] - The transition from passive human monitoring to proactive AI governance has been achieved through real-time monitoring of unsafe behaviors and equipment defects, optimizing daily inspections and reducing labor intensity [2] - In the Xingshan Coal Mine, the deployment of over 10 intelligent monitoring scenarios has reduced the need for on-site personnel by more than 18 per shift, marking a shift from human oversight to technical defense [2] Group 3: Cost Reduction and Production Optimization - The large model's predictive capabilities have been applied in coal washing processes, allowing for real-time predictions of optimal process parameters, which reduces manual intervention and lowers production costs [3] - The implementation of a heavy medium density control model has improved the yield of clean coal by over 0.2%, resulting in an additional 8,000 tons of clean coal and an estimated revenue increase of approximately 4 million yuan [3] - In the methanol distillation process, the large model's predictive ability has reduced steam consumption by 2%, saving around 2 million yuan annually [3] Group 4: Enhanced Operational Efficiency - By integrating advanced NLP technologies and self-developed intelligent platforms, Yunding Technology has created core business applications that enhance operational efficiency by over 20% [4] - The establishment of a comprehensive AI team has led to the development of standardized solutions, with over 5000 AI application scenarios implemented across 73 organizations, yielding significant economic and social benefits [4] - The strategic approach of piloting applications in specific units and replicating successful models has facilitated the widespread adoption of AI technologies in the energy sector [4] Group 5: Future Development Directions - Yunding Technology aims to deepen its focus on the mining sector while expanding horizontally into chemical, power, oil and gas, and manufacturing industries, accelerating the application of AI in core production processes [6] - The company plans to enhance the intelligent management of business lines and regions by integrating scattered functional models, thereby improving the overall level of intelligence in the mining sector [6] - The initiative is expected to inject new momentum into the green and efficient development of the energy industry, empowering high-quality development in mining through new productive forces [6]

6月26日下午，2025"数字新力量"全国行（宁波站）暨宁波市企业首席数据官应用路演及供需对接交流 活动在浙江宁波举办。活动以"释放数据力量赋能产业提质"为主题，围绕数据要素市场化改革与首席数 据官（CDO）制度落地实践，汇聚来自产学研用各界人士，共话数据要素价值释放新路径。会上发布 了全国优秀企业首席数据官案例，以及宁波工业大模型可信数据空间、智能网联汽车产业高质量数据 集、《宁波市企业首席数据官制度建设指南》等成果，聚力推进产业数据价值化进程，为宁波建设全球 智造创新之都注入强劲动能。 随着人工智能技术的持续创新，数据已经成为数字经济高质量发展的核心引擎，全国各地纷纷加速探索 数据要素市场化的新模式和新路径。浙江省是全国唯一一个同时承担数字经济创新发展试验区、数据要 素综合试验区建设任务的省份。在浙江省经济和信息化厅的部署推动下，浙江省产业数据价值化改革稳 步推进，数据要素价值加速释放。 宁波作为浙江省产业数据价值化先行先试城市，围绕数据要素价值释放的重点领域、重点环节积极探 索。宁波市经济和信息化局副局长屠炯指出，近年来，宁波深入实施产业数据价值化改革，制度标准建 设加速推进、数商培育机制初步建立、数据 ...