在数字化转型的大潮下，企业对于客户管理的需求越来越精细化。许多公司发现，市面上的开源CRM系统虽然免费或成本低，但用起来总像"削足适 履"——功能要么不够用，要么用起来别扭。如果企业想要真正掌控客户数据、打造自己的业务护城河，自主开发CRM或许才是更长远的选择。那么，不依 赖开源CRM代码，企业能通过哪些方案实现定制化的客户管理？ 一、为什么宁可自己"造轮子"？ 开源CRM并非一无是处，但它的局限性往往让企业陷入两难。比如，许多开源系统功能固定，想增加一个客户标签分类功能，可能要修改核心代码，既容 易引发系统崩溃，还可能带来数据泄露风险。更麻烦的是，不同行业的业务逻辑千差万别——制造业需要对接ERP管理订单，医疗行业要遵守严格的隐私法 规，这些都不是标准化的开源CRM能搞定的。 而自主开发的CRM系统，就像量身定做的西装，完全贴合企业需求。比如，销售团队想实现自动化客户分级，技术部门可以直接在系统里设计智能算法； 市场部门需要和现有OA系统打通数据，开发团队也能轻松对接接口。更重要的是，所有数据都掌握在自己手里，既不用担心被第三方平台限制，也不会因 为系统停更而被迫"断粮"。 1. 低代码平台：小成本也能玩转 ...

Core Viewpoint - The company has developed a new generation of digital transformation platform called "Nüwa Platform," which integrates various advanced technologies to support rapid application development and business process automation for government and enterprise clients [1] Group 1: Platform Capabilities - The Nüwa Platform features eight core capabilities: cloud-native, low-code, big data, artificial intelligence, DevOps software engineering, complex environment integration, trusted computing adaptation, and data security [1] - The platform is designed to meet the digital transformation needs of government and enterprise sectors [1] Group 2: Development Philosophy - The company adheres to a platform-based development philosophy, with the Nüwa low-code platform being a culmination of over twenty years of development technology and industry experience [1] - Industry applications built on the Nüwa low-code platform are already widely used among government and enterprise clients [1] Group 3: Future Strategy - The company plans to continue its "technology + scenario" dual-driven strategy, leveraging the new Nüwa low-code platform to provide one-stop services ranging from data governance to asset operation and intelligent applications [1] - The goal is to help clients unlock the potential of data elements [1]

格隆汇8月7日丨久其软件(002279.SZ)在投资者互动平台表示，公司自主研发的新一代政企数智化转型 平台——久其女娲平台，该平台具有云原生、低代码、大数据、人工智能、DevOps软件工程、复杂环 境集成、信创适配以及数据安全八大核心能力，可支持快速应用构建与业务流程自动化，满足政企数字 化转型需求。公司一直坚持平台化的开发理念，女娲低代码平台是公司二十多年开发技术和行业经验的 沉淀平台，基于女娲低代码平台构建的行业应用已经广泛应用于政企客户群中。未来，公司将持续秉 持"技术+场景"双轮驱动战略，依托新一代女娲低代码平台，为政企客户提供数据治理到资产运营再到 智能应用的一站式服务，助力客户挖掘数据要素的潜力。 ...

Core Viewpoint - The article emphasizes the importance of understanding trends in the rapidly evolving AI landscape, particularly in the context of open-source projects and their development trajectories [2][6]. Group 1: Overview of Open-Source Landscape - Ant Group's open-source team released a comprehensive "2025 Large Model Open-Source Development Ecosystem Panorama," detailing 135 core projects across 19 technical domains, highlighting the significant role of open-source in the large model wave [2][6]. - The three dominant technical tracks identified are model training frameworks, efficient inference engines, and low-code application development frameworks [2][6]. Group 2: Project Rankings and Trends - The top 20 projects in the 2025 OpenRank ranking include notable names like PyTorch, vLLM, and Dify, showcasing their community engagement and technical impact [3][6]. - A comparison of OpenRank indicators from 2024 shows significant year-on-year growth in the three leading technical tracks, indicating a shift in focus towards more practical applications [6][14]. Group 3: Market Dynamics and Project Viability - The article discusses the "hackathon phenomenon," where many projects gain rapid attention but also face high turnover rates, leading to a challenging environment for sustainability [8][10]. - AI coding projects are thriving, with OpenRank trends showing consistent upward movement, contrasting with the decline of AI search projects [11][26]. Group 4: Future Trends and Predictions - Seven key trends have emerged from tracking the activity and community feedback of 135 core projects, with a notable shift towards low-code platforms and user-centric applications [17][20]. - The article predicts that by 2025, low-code platforms will dominate, reflecting a transition from developer-focused tools to more accessible solutions for end-users [21][26]. Group 5: Technical Innovations and Challenges - The article highlights the advancements in model training and inference, particularly the emergence of tools like vLLM and SGLang, which are reshaping the deployment landscape [34][36]. - It also points out the ongoing need for new protocols to facilitate agent collaboration, indicating a significant area for future innovation within the open-source community [25][26].

Group 1 - Apple is preparing to allow third-party developers to use its AI models to stimulate new application development, with plans to announce this at the upcoming Worldwide Developers Conference on June 9 [2] - Tencent Cloud and WeRide have signed a strategic cooperation agreement to advance the commercial operation of L4-level autonomous Robotaxi services and explore integration with WeChat and Tencent Maps [3] - The demand for AI is providing new support for industry recovery, with international institutions raising global growth expectations for the AI sector for the fourth consecutive year [4][5] Group 2 - The construction of water infrastructure is accelerating, with significant progress reported in various major water conservancy projects across the country [6] - In 2024, China's investment in water conservancy construction is expected to reach a historical high, with 41 major national water network projects initiated and a total investment of 1.3529 trillion yuan, reflecting a year-on-year growth of 12.8% [6]

Summary of Key Points from Conference Call Records Industry or Company Involved - **Apple Inc.**: Opening AI models to developers for new application development [5] - **Pharmaceutical Industry**: Focus on innovative drugs and partnerships [4] - **Robotaxi and Autonomous Driving**: Collaboration between Tencent Cloud and WeRide [7] - **New Energy and Consumption Sectors**: Focus on energy and consumer trends [3] Core Points and Arguments - **Apple's AI Initiative**: Apple is set to allow third-party developers to use its AI models, aiming to enhance application development and device appeal. This move is part of Apple's broader strategy to lead in generative AI [5][6] - **Growth of Low-Code Platforms**: The development of AI and low-code platforms is expected to significantly lower development barriers and enhance efficiency, with projections indicating that 65% of applications will be developed using low-code platforms by 2024 [5] - **Innovative Drug Sector**: A partnership between 3SBio and Pfizer for a PD-1/VEGF dual-specific antibody has been established, with an initial payment of $1.25 billion and potential total payments of up to $4.8 billion. This partnership is seen as a positive catalyst for the innovative drug sector [4] - **Market Trends**: The market is currently favoring merger and acquisition themes, with a notable focus on low-positioned new themes in energy and consumer sectors. The performance of leading companies in these areas will be crucial [3][2] Other Important but Possibly Overlooked Content - **Market Dynamics**: The market is experiencing a shift where high-positioned stocks are declining while new themes are emerging, indicating a potential rotation of capital [2] - **Robotaxi Development**: The partnership between Tencent Cloud and WeRide aims to commercialize L4 autonomous driving and expand into overseas markets, with expectations for significant growth in the Robotaxi sector by 2025 [7] - **Stock Market Movements**: Various companies are undergoing significant changes, including mergers, acquisitions, and stock price fluctuations, which could impact their future performance [12] - **Sector Performance**: Notable sector performances include Japanese concepts and cancer drugs, indicating a diverse range of investment opportunities [9]