每经AI快讯，有投资者在投资者互动平台提问：请问公司研发的低代码主要应用场景有哪些？ 新开普（300248.SZ）10月9日在投资者互动平台表示，公司基于自研星工场平台可实现低代码搭建AI智 能体，用于学校的业务办理、一句话办事和更多深度业务场景，目前已在西安交通大学、西北民族大学 等学校上线应用。 （文章来源：每日经济新闻） ...

Group 1: Company Overview and Strategic Direction - The company is actively promoting strategic transformation and industrial upgrading, shifting focus from business scale expansion to structural optimization and sustainable development [2][3]. - The company is adjusting its business layout by gradually shrinking low-efficiency, long-repayment-cycle businesses in the energy sector [3]. Group 2: Business Transformation and Performance - The company has developed competitive standardized software products, including the "AI Low-Code" PaaS development platform, and is expanding into larger market spaces like industrial manufacturing [3][4]. - Despite short-term revenue fluctuations due to business contraction, the standardized product segment has shown rapid growth, with revenue exceeding 96 million in 2024, accounting for over 20% of total revenue [3][4]. Group 3: Factors Supporting Strategic Upgrade - The low-code PaaS platform significantly reduces product development costs and enhances the company's competitive advantage [4][5]. - The company has a well-established AI research team, focusing on various AI technologies, which enhances product differentiation and intelligence [4][5]. - A robust marketing system has been developed, with 13 regional sales centers established to enhance nationwide sales penetration [4][5]. Group 4: Cash Flow Improvement Measures - Operating cash flow improved significantly, reaching 62.12 million in 2024, with a year-on-year increase of 83.48% in the first half of 2025 [5]. - Measures taken include strengthening receivables management, optimizing low-margin businesses, and implementing detailed cost management [5]. Group 5: Low-Code PaaS Platform Details - The "Light Cavalry" low-code PaaS platform allows users to develop applications with minimal coding, significantly improving development efficiency and reducing costs [6]. - The platform has a diverse customer base across various industries, including power, aerospace, finance, and manufacturing [6]. Group 6: AI Development and Applications - The company is building industry-specific AI models and integrating AI into business scenarios, achieving significant results in various applications [7]. - The strategic focus on AI has been supported by a clear commitment to resource allocation and the establishment of an AI research institute [7].

Core Insights - The rise of intelligent agents has created a lucrative sector in technology, attracting a diverse range of developers, including those without programming skills [1][3] - The survival conditions for the first batch of intelligent agent developers in China are more complex compared to their counterparts in Silicon Valley [3][6] Developer Landscape - The first batch of intelligent agent developers in China can be characterized as "grassroots," with many lacking traditional programming skills but leveraging low-code platforms to create functional products [4][5] - The age range of developers is broad, with participants as young as 9 and as old as 51, indicating a unique phenomenon in the domestic market [5] Market Dynamics - The domestic low-code and no-code platforms have significantly lowered the technical barrier, allowing a wider range of individuals to participate in development [6][8] - The demand for niche solutions in China has amplified the value of creativity among grassroots developers, who focus on specific problems in various sectors [8] Revenue Challenges - Despite the flourishing development scene, the monetization of intelligent agents in China is significantly more challenging than in overseas markets, where subscription models are well-established [9][11] - Domestic developers often face low willingness to pay from end-users, leading to a long commercial startup cycle and low conversion rates from free trials [11][12] Survival Strategies - Grassroots developers have adopted pragmatic survival strategies, often integrating their agents into established ecosystems of major internet platforms to generate revenue [12][14] - Some developers focus on small, niche markets that larger companies overlook, allowing them to create stable income streams despite lower earnings [17][18] Future Directions - The development of intelligent agents has lowered the entry barrier for ordinary individuals, highlighting the vitality of grassroots developers in China's AI industry [22] - To attract more participants, low-code platforms need to enhance their commercial frameworks and support developers in monetizing their creations effectively [25][27]

Group 1 - The term "chip" is crucial in various technology sectors, including mobile phones, computers, aerospace, and automobiles, but high-end chip design and manufacturing have been historically constrained by foreign dominance [1] - The U.S. sanctions against companies like Huawei highlight the challenges faced by China's high-tech development, but these pressures may drive innovation and breakthroughs [1] Group 2 - Yunnan University has established the first "Qian Xuesen Class" in Southwest China, set to enroll students in 2025, focusing on cultivating top innovative talents in critical areas such as energy security and chip research [3] - The key to breakthroughs in the chip industry lies in materials science, with Yunnan University successfully developing a new composite material of platinum sulfide and graphene, which could rival 5nm chips and even exceed 3nm performance at a lower cost [3] Group 3 - Achieving mass production of chips requires a mature manufacturing system and supply chain management, with Manufacturing Execution Systems (MES) and Warehouse Management Systems (WMS) being essential for quality tracking and process optimization [4] - Traditional development methods for these systems are time-consuming and costly, but domestic low-code development tools like "Yunbiao Platform" allow for rapid system setup, significantly lowering development barriers [7] Group 4 - Companies such as XJ Electric, China Railway, Haier, and Huawei have utilized these low-code platforms, indicating that domestic chip mass production is becoming feasible with integrated software and hardware solutions [9] - The U.S. sanctions have inadvertently accelerated the formation of a domestic technology ecosystem, with universities focusing on material research and talent cultivation, while digital systems support future mass production [9]

Core Insights - The article highlights the rapid growth of low-code platforms as essential tools for enterprises in digital transformation, emphasizing their quick development and flexible iteration capabilities [1] - It provides a comparative analysis of leading low-code platforms, focusing on their functional adaptability, industry applicability, and technical compliance [1] Company Summaries - **Qingliu**: Recognized as a benchmark in the domestic low-code sector, Qingliu excels in technical strength, industry coverage, and customer recognition. It has achieved various certifications, including ISO 27001 and compliance with national data security laws, making it suitable for large enterprises and government applications. Notable case studies include significant efficiency improvements for clients like China Commercial Aircraft and major hospitals [5][1] - **Jiandaoyun**: Positioned as a user-friendly platform for small and medium enterprises, Jiandaoyun focuses on lightweight and easy-to-use features, making it ideal for simpler business processes [4][1] - **ChuanYun**: Leveraging its integration within the Alibaba ecosystem, ChuanYun offers natural advantages in collaboration with tools like DingTalk and WeChat Work [6][1] - **MingdaoYun**: This platform emphasizes high customization, catering to enterprises with unique business scenarios [7][1] - **YanhuaYingdong**: Focused on process management, YanhuaYingdong combines business process management (BPM) with low-code capabilities [8][1] Selection Recommendations - The selection of a low-code platform should be based on business needs. Qingliu is recommended for enterprises requiring comprehensive, high-compliance management systems with complex processes. Jiandaoyun is more cost-effective for small and medium enterprises needing basic management tools. Companies deeply integrated into the Alibaba ecosystem may find ChuanYun's collaborative capabilities beneficial [9][1]

Core Insights - The company successfully held its 2025 mid-year management conference, focusing on the achievements, existing challenges, and plans for the second half of the year amidst a complex economic environment [1][17] - The company demonstrated strong resilience with revenue growth in the first half of 2025, driven by comprehensive innovation, refined management, and precise market trend analysis [3] Revenue and Performance - In the first half of 2025, the company reported revenue growth despite a challenging global economic landscape and intensified competition in the electronic signature industry [3] - The Northern Marketing Center achieved significant results in core sectors like construction, contributing to overall performance growth [3] Strategic Planning - The company aims to leverage policy benefits and industry experience to expand its business footprint in the second half of the year [3] - The CEO emphasized the need for strategic focus on core products, high-value clients, and differentiated competitive advantages [15] Technology and Innovation - The Low-Code Division reported successful project implementations that enhanced efficiency and customer satisfaction [5] - The product development team made significant progress in optimizing core electronic signature products, with plans for further upgrades and international market expansion [7][10] Collaboration and Management - The company plans to optimize resource allocation and enhance inter-regional collaboration to ensure project success and marketing performance [6] - Various department heads shared insights on their contributions and strategies for the second half of the year, emphasizing teamwork and strategic alignment [11][17] Market Outlook - The CEO analyzed the current economic situation, highlighting challenges and opportunities within the electronic signature industry, with a focus on technological innovation and service quality [13] - The company is set to broaden its ecological partnerships and enhance brand influence while actively pursuing international market opportunities [15]

Core Insights - The company is undergoing a digital transformation aimed at improving efficiency and decision-making processes through technology [1][5] Group 1: Digital Transformation Initiatives - The company has implemented a low-code development platform to streamline processes, reducing the time for report generation by over 50% [2] - The introduction of "smart forms" has minimized manual data entry, allowing for automatic calculations and data aggregation [2] - The approval process has shifted from a multi-departmental, time-consuming method to an online, one-click submission system, significantly enhancing operational efficiency [2][3] Group 2: Data-Driven Decision Making - The establishment of a "smart management BI dashboard" allows for real-time data visualization, enabling better decision-making based on sales progress and compliance data [3][4] - The marketing department utilizes dashboard analytics to adjust inventory strategies, preventing overstock and stockouts [3] - Meetings have transformed from report reading to data-driven discussions, improving clarity and engagement among team members [3][4] Group 3: Training and Skill Development - The company emphasizes the importance of digital literacy for all employees, offering both online and offline training sessions [5] - Practical training sessions and mentorship programs are in place to ensure all employees, regardless of age or experience, can effectively use digital tools [5] - The overall sentiment among employees has shifted positively towards digital tools, making their work easier and more efficient [5] Group 4: Future Directions - The company plans to continue enhancing its internal digital capabilities by developing more practical tools and optimizing key processes [5] - The goal is to leverage digital empowerment as a driving force for high-quality industry development [5]

Core Viewpoint - The credit rating report for Jin Modern Information Industry Co., Ltd. indicates a stable outlook for the company, which focuses on the power information technology sector and has a strong customer base, particularly with State Grid Corporation, contributing over 40% of its revenue [3][4][16]. Company Overview - Jin Modern Information Industry Co., Ltd. maintains an A+ credit rating, reflecting its stable business operations and good reputation in the power information sector [3][4]. - The company is a leading provider of customized digital solutions for large state-owned enterprises in the power industry, with a significant portion of its revenue derived from major clients [4][16]. Financial Performance - The company's revenue for 2024 is projected to decline, with operating income expected to be 0.45 billion yuan, down from 4.40 billion yuan in 2023 [3][4]. - Net profit is forecasted to be negative at -0.08 billion yuan for 2024, indicating a continued weakening of profitability metrics [4][19]. - The company’s total debt is reported at 1.99 billion yuan, with a debt-to-equity ratio of 14.20% [4][19]. Business Environment - The macroeconomic environment is showing signs of recovery, with increased investment in infrastructure and technology, which is expected to benefit the software and information technology services industry [10][14]. - The software and information technology services sector is experiencing rapid growth, with an expected industry revenue of 6.34 trillion yuan in 2024, growing at a rate of 10.9% [10][11]. Industry Trends - The low-code and no-code development platforms are gaining traction, with the market expected to expand significantly as companies seek efficient and cost-effective digital transformation solutions [12][13]. - The demand for information technology services is expected to continue growing, driven by government policies and the need for digital upgrades in various sectors, including energy [10][11][14]. Operational Challenges - The company faces challenges related to cash flow management due to long receivable cycles, with accounts receivable accounting for nearly 40% of total assets [5][19]. - Continuous high R&D investment is necessary to maintain technological leadership, but the company has seen a reduction in R&D personnel and investment in 2024 [5][15]. Customer Base and Sales - The company’s revenue is heavily reliant on the power sector, with over 70% of its income coming from this industry, particularly from State Grid Corporation [16][18]. - The sales model primarily relies on direct sales, with a focus on large-scale projects and long-term contracts with major clients [16][19].

Group 1 - The integration of artificial intelligence (AI) into business is reshaping decision-making and operational efficiency in modern enterprises, leading to a new era of business civilization in the digital age [1] - The CUHK (Shenzhen) Business School has launched the "Exploring AI in Management" initiative to redefine the coordinates of management science and industry in the digital age, focusing on the intersection of academic theory and practical application [1] - The course "LLM for Business" emphasizes practical applications of large language models (LLMs) in business scenarios, enabling students to develop AI tools without coding [2][13] Group 2 - Four major AI projects have been developed, including an "AI Interviewer" tailored for consulting positions, which aims to enhance interview preparation through intelligent feedback and structured training [3][8] - The "Super VOC Agent" project automates the process of analyzing customer feedback, including sentiment tagging and structured summarization, to support various departments within a company [9][12] - The "ClinicBot" project aims to streamline patient triage in hospitals by recommending appropriate departments based on patient symptoms and demographics, thereby improving efficiency and reducing misdiagnosis [20][22] Group 3 - The course provides a systematic framework for understanding large model technologies, covering AI development history, architecture principles, and prompt engineering [13][19] - Practical training in low-code development allows students to build AI applications from scratch, enhancing their skills and market competitiveness in the rapidly evolving AI landscape [15][30] - The course aims to cultivate interdisciplinary talents who understand technology, management, and practical implementation, aligning with the current demand for AI applications across industries [30]

Group 1: Financial Performance - In 2024, the company's revenue from customized software development and services accounted for approximately 78%, while standardized software product development and sales represented about 22% [2] - The sales revenue from standardized software products experienced a year-on-year growth of approximately 30% [2] - The gross margin of standardized software products is significantly higher than that of customized services, contributing to the company's long-term stable development [3] Group 2: Product Development and AI Integration - The company focuses on AI research directions including large language models (LLM), natural language processing (NLP), knowledge graphs (KG), and image recognition (CV) [4] - The company has launched various AI-related products and solutions, such as intelligent Q&A and report generation, with numerous successful application cases [4] - The "Light Cavalry" low-code development platform has been adapted to the DeepSeek large model, enhancing its capabilities for enterprise digital transformation [5][6] Group 3: Laboratory Management System - The smart laboratory management platform is designed for comprehensive management of experiments and testing processes, significantly improving efficiency and standardization [7] - The platform incorporates AI technologies to automate data collection and report generation, reducing manual workload and errors [8] - The product has been widely applied across various industries, including energy, electronics, pharmaceuticals, and food [9] Group 4: Future Development Strategy - The company will continue to pursue a "dual-wheel drive" development strategy, focusing on both customized digital solutions and standardized software products [10] - There will be sustained investment in technology innovation, particularly in AI and standardized software, to enhance core products and achieve sustainable high-quality development [10] Group 5: Convertible Bonds - The company's convertible bonds have a conversion period ending on November 26, 2029, with no current intention to adjust the conversion price [10] - The company aims to promote the completion of bond conversions based on market conditions and stock performance [10]