Core Insights - The article emphasizes the evolution of enterprise-level AI from being mere conversational agents to becoming integral business executors, highlighting the need for a comprehensive transformation in organizations to fully leverage AI capabilities [2][3]. Group 1: AI Implementation Strategy - The COO of Qian Ding Data Science, Wei Zhenhua, outlines a six-step methodology for implementing AI in enterprises, which includes recognition, value identification, platform establishment, knowledge construction, application, and evolution [6][8]. - The first step, "Recognition," focuses on achieving consensus on AI transformation across all organizational levels, emphasizing the importance of understanding AI's role and dispelling fears of job displacement [8][9]. - The second step, "Value," stresses the need to identify high-value scenarios for AI application, ensuring that quality data is available for effective AI training [9][10]. Group 2: AI Infrastructure and Knowledge Management - The third step, "Platform," discusses the necessity of building an AI agent platform tailored for enterprise needs, addressing issues such as business familiarity, permission management, and quantifiable outcomes [10][11]. - The fourth step, "Knowledge," highlights the importance of constructing a knowledge engineering framework to support AI learning, ensuring that AI systems are equipped with relevant internal data and context [10][11]. - The fifth step, "Application," focuses on user adoption, advocating for user-friendly interfaces and seamless integration of AI capabilities into existing business systems [10][11]. Group 3: AI Evolution and Practical Applications - The sixth step, "Evolution," involves continuous improvement of AI systems through iterative training and evaluation, utilizing a DMRE (Data, Model, Reward, Evaluation) framework to enhance agent capabilities over time [10][11]. - The article presents six practical applications of AI agents across various business domains, including remote inspection, energy management, asset operation, customer service, workflow automation, and employee training, demonstrating significant efficiency gains and cost reductions [13][14]. - For instance, the energy management AI agent has helped reduce overall energy consumption by approximately 27%, managing an annual electricity cost of 320 million yuan [14].

Core Viewpoint - Digital transformation is often misunderstood by company leaders, leading to superficial or incomplete efforts. A deeper understanding of digitalization is essential for effective transformation [1][3]. Group 1: Misunderstandings and Issues - Many traditional company leaders equate digital transformation with merely purchasing advanced software systems, neglecting the unique aspects of their own organizations [2]. - There is a tendency to expect immediate financial returns from digital initiatives, which can lead to budget cuts or project cancellations when short-term results are not visible [4]. - Leaders often either delegate digital transformation entirely or interfere excessively in technical decisions, resulting in confusion and misalignment [4][5]. Group 2: Methodological and Cultural Challenges - Companies frequently lack a clear digital strategy and implementation roadmap, leading to ad-hoc approaches that fail to address real business needs [5]. - There is a common oversight of the human and cultural aspects of transformation, with many leaders failing to establish cross-departmental teams or address the resulting shifts in power and interests [6]. - A lack of a data-driven culture and reliance on traditional management practices hinder effective digital transformation [6]. Group 3: Recommendations for Leaders - Leaders should personally engage in learning about digitalization, lead transformation efforts, and actively participate in decision-making [7]. - It is crucial for leaders to maintain a long-term perspective, avoid rushing for quick wins, and embrace the complexities of digital transformation [7][8]. - Successful transformation requires a fundamental shift in leadership mindset, focusing on collaboration and data-driven decision-making [8].

12月11日，鸿蒙办公产业峰会在武汉召开，华为面向企业用户开放鸿蒙电脑企业版Beta，并正式发布新 一代鸿蒙电脑——华为擎云 HM740，标志着鸿蒙生态正加速从消费领域向商用领域拓展，赋能千行百 业。 在此前华为鸿蒙办公新品技术沟通会上，华为终端平板与PC产品线总裁朱懂东表示，目前鸿蒙电脑已 实现了全链路的自主可控，在产品、操作系统和生态上面都保持了先进性，为这一布局构筑了坚实基 础。在本次峰会上，朱懂东进一步强调："以实干赴使命，以生态启新程，这就是鸿蒙电脑的坚定前 行。" 这不仅是一次新品发布，更是中国商用办公摆脱路径依赖、实现换道超车的起点。同时擎云星河计划 （二期）也随即开启，加速鸿蒙在政企市场的应用。通过"创新驱动生态→生态集聚用户→用户激活价 值→价值反哺创新"的良性循环，助力企业在数字化浪潮中实现跨越式发展。 新一代鸿蒙电脑华为擎云 HM740基于 HarmonyOS 6 底座，为企业用户打造的更智慧、更高效、更安全 操作系统。目前鸿蒙电脑生态中的应用数量已从发布之初的2000多迅速发展至12000以上，对于开发者 而言，这场奔赴更源于职业本能的驱动。鸿蒙电脑企业版针对政企客户痛点，在智慧能力、 ...

学员口中所谓的"好网校"，往往只是冰山浮在水面的一角——他们看到的是界面流畅、课程丰富。然而，对于掌舵的CEO而言，真正的较量发生在水面之 下。支撑这些表层体验的，是庞大而精密的技术架构。许多决策者在选型时容易陷入"功能清单"的误区，只关注有没有拼团、打卡等表层功能，却忽视了系 统的并发承载力、安全性和扩展性。这种短视往往会导致后期巨大的"技术债"。本文将从企业级基建的视角，深度剖析 EduSohoAI 网校搭建方案背后的底 层逻辑，为您的技术选型提供硬核依据。 考试考证领域的名师课程往往具有极高的知识产权价值，盗版是机构利润最大的杀手。EduSohoAI 搭建方案中内置了严苛的 DRM（数字版权管理）体系。 通过视频切片加密、防录屏检测以及防盗链技术，从底层物理上切断了盗版录制的可能性。这种"银行金库"级别的防护，确保了机构的独家内容不会在闲鱼 或淘宝廉价泛滥，守护了核心资产的稀缺性。 对于考试考证类机构，流量具有极强的"潮汐效应"。平时流量平稳，但在考前一周的冲刺押题直播时，流量可能瞬间暴增几十倍。EduSohoAI 采用了云原生 架构（Cloud-Native）与弹性伸缩（Auto-scaling）技术 ...

Core Insights - Huawei's HarmonyOS is expanding into the B2B market with the launch of the HarmonyOS Computer Enterprise Edition, enhancing its ecosystem [1][2] - The new operating system aims to provide smarter, safer, and more efficient office experiences through features like AI assistance and dual-space management [1][2] - The introduction of the Huawei Qingyun HM740 marks a shift in commercial PC competition towards system-level security and intelligent experiences [3] Group 1: Product Launch and Features - Huawei officially launched the HarmonyOS Computer Enterprise Edition and announced the beta version of the HarmonyOS Computer Enterprise Operating System [1] - The HarmonyOS Computer Enterprise Edition is built on the HarmonyOS 6 foundation, featuring enhanced AI capabilities and tools for document management and report generation [1][2] - The "Enterprise Digital Dual Space" feature allows users to switch between secure enterprise and personal spaces, ensuring data protection and compliance [1] Group 2: Deployment and Management - The HarmonyOS Computer Enterprise Edition supports "zero-touch deployment," allowing IT administrators to configure devices with minimal interaction [2] - Traditional deployment of 500 computers takes at least 10 days, while the new method reduces this to just 1 day, significantly improving the deployment experience [2] - The Huawei Qingyun HM740 features a flagship OLED screen and a large 70Wh battery, supporting extensive usage times for video playback and voice meetings [2] Group 3: Ecosystem Growth - The Harmony ecosystem is rapidly expanding, with over 23 million devices running HarmonyOS 5 and more than 30,000 applications and services available [3] - The launch of the HarmonyOS Computer marks Huawei's full entry into the Harmony era, covering a wide range of devices including smartphones, tablets, and smart home products [3]

（一）技术实力 供应商的技术能力是关键因素。像沈阳创链信息技术有限公司这样的企业，其核心技术团队成员来自清华大学、吉林大学等知名院校，具 备丰富的技术研发与项目实施经验。他们自主研发的多个应用场景解决方案，显示出强大的技术实力，能够保障数据资产的稳定供应。 （二）行业经验 丰富的行业经验意味着供应商能够更好地应对各种情况。创链信息在区块链技术研发、工业互联网等领域有着深厚的积累，对不同行业的 数据需求和特点有深入的理解。 引言 在当今数字化时代，数据已成为企业最重要的资产之一。数据资产的供应稳定性对于企业的正常运营和发展至关重要。那么，如何找到数据资产供应稳定的 供应商呢？ 一、数据资产供应商的重要性 数据资产如同企业的血液，贯穿于企业的各个业务环节。稳定的数据资产供应能够保证企业决策的及时性和准确性。例如，在金融领域，数据的缺失或不准 确可能导致投资失误；在制造业，生产数据的延迟可能影响整个供应链的效率。 二、选择稳定供应商的标准 （一）过往案例 查看供应商的过往成功案例，了解其在类似项目中的表现。 （二）客户评价 参考其他客户的评价，从侧面了解供应商的服务质量和稳定性。 总结 选择数据资产供应稳定的供应商 ...

Core Insights - Many companies invest heavily in large models but struggle to address practical business issues, revealing that traditional foundational technologies and data governance methods are crucial for cost reduction and efficiency [1][14]. Workflow: Revitalizing Old Concepts - Workflow has evolved from rigid processes to a vital tool for managing AI, acting as a bridge between AI technology and real business needs [3][5]. - The presence of workflow ensures that AI operates within a defined scope, preventing it from making unverified commitments that could lead to significant risks [5][7]. Integration with Existing Systems - AI must be integrated into the complex and mature systems of enterprises; otherwise, it remains an isolated high-performance accessory [9]. - Workflow serves as a "business integrator," embedding AI capabilities into existing standard operating procedures (SOPs) [9][11]. Effective Workflow Implementation - Proper implementation of workflow involves maintaining existing management processes while allowing AI to assist, ensuring compliance with financial management principles [11][13]. - AI operates within the parameters set by the workflow, with decision-making authority retained by management, thus creating an efficient automated processing loop [13][16]. Conclusion - Companies often focus on selecting advanced models and high-end hardware while neglecting workflow design and optimization, which is essential for effective AI application [14][16]. - The essence of workflow lies in operational guidelines, emergency response plans, and cross-departmental collaboration, which are critical for successful AI integration [16].

（文章来源：证券日报） 证券日报网讯 12月5日，立高食品在互动平台回答投资者提问时表示，公司的ERP系统使用的是用友 BIP全模块定制化系统，该系统涵盖财务、供应链、营销、数据服务等多项业务领域，为公司构建了全 链路数字化平台，实现销售预测、计划管理、高级排程、采购执行、库存调度等领域的高效协同，以数 据驱动优化经营效率，实现管理与经营从经验化到数据化新时代企业转型，目前公司工厂原料、成品库 存管理都有启用批次和有效期管理。 ...

Core Insights - The rapid development of artificial intelligence has transformed smart meetings from a luxury to a critical starting point for major corporate decisions [1] - MAXHUB is launching the "Smart Meeting Navigation 100 Plan" to create benchmark smart meeting rooms for 100 companies, aiming to enhance digital transformation across various industries [1][3] Group 1: Digital Transformation and Industry Impact - By the end of 2025, the digital office penetration rate in Chinese enterprises is expected to reach 72%, with 85% of companies prioritizing smart meeting rooms for digital upgrades [1] - The "Smart Meeting Navigation 100 Plan" covers sectors such as healthcare, finance, intelligent manufacturing, and energy, collaborating with companies like China Gas Holdings and Shanghai First People's Hospital [1][3] Group 2: Evolution of MAXHUB - MAXHUB has evolved from a "meeting tool" to a "business collaboration partner," responding to the real needs of enterprises for enhanced collaboration capabilities [2][3] - The company aims to address pain points such as system incompatibility and workflow disruptions that hinder collaboration efficiency [3] Group 3: Technological Advancements - MAXHUB is focusing on AI meeting solutions to improve collaboration efficiency, enhancing AI content recording and processing capabilities [4] - The company has developed personalized solutions for various industries, demonstrating the integration of AI into business processes to enhance efficiency and insights [6][8] Group 4: Case Studies and Applications - In the travel industry, MAXHUB's AI meeting tools have improved workflow by automatically generating meeting minutes and extracting trends from discussions [6] - In the manufacturing sector, MAXHUB integrated multiple systems for Fujian Yongrong Holdings, significantly enhancing global operational efficiency [6] - In healthcare, Shanghai First People's Hospital utilizes MAXHUB's technology to optimize patient care and facilitate remote collaboration among experts [7] Group 5: Future Vision - MAXHUB's "Smart Meeting Navigation 100 Plan" is seen as a starting point for further industry engagement, aiming to make every meeting a driver of digital transformation [10] - The company envisions leveraging AI and ecosystem partnerships to continue enhancing collaboration across various sectors [10]

Core Insights - The event "Digital Transformation Practical Training Camp" was successfully held at the headquarters of Fubei Company, focusing on the challenges faced by small and medium-sized enterprises (SMEs) in digital transformation [1][3] - The initiative aims to provide practical guidance and tools for SMEs to accelerate their digital transformation and achieve high-quality development [3][7] Group 1 - The event was co-hosted by multiple organizations, including the Shanghai SME Development Service Center and Shanghai Jiao Tong University, with over thirty executives from "specialized, refined, distinctive, and innovative" enterprises participating [1][3] - The training camp is part of a series of initiatives designed to support SMEs, transforming abstract concepts of digital transformation into actionable methods and tools [3][5] - Experts from various organizations shared insights on the necessity of digital transformation, its role in reducing costs and increasing efficiency in manufacturing, and practical case studies [5][7] Group 2 - The practical training included hands-on sessions where industry experts used Fubei's "5G fully connected smart factory" as a case study to guide executives in addressing challenges encountered during their own transformation processes [5][6] - Participants had the opportunity to visit Fubei's smart factory and digital exhibition hall, providing a tangible experience of intelligent production scenarios [5][6] - The Shanghai SME Development Service Center plans to continue collaborating with various stakeholders to empower more enterprises in their digital transformation journey [7]