近日，由AI科技权威媒体量子位主办的MEET2026智能未来大会在北京举办，大会汇聚学术界、产业界以及创业前沿的众多嘉宾，围绕AI技术革新与产业应 用展开了深度对话。 会上正式揭晓「2025人工智能年度榜单」，万联易达集团旗下万联智链公司自主研发的全产业AI大模型「万联摩尔」凭借其深度融合产业知识与实际场景 应用和决策能力，荣获"2025人工智能年度杰出产品"称号。 价格预测功能已覆盖超100个大宗品类，钢铁、铁合金、铁矿石、不锈钢等几十个品类的价格预测准确率超90%； 企业洞察功能则基于"企业深度洞察""企业财报分析""舆情热点追踪"3大模块，构建了全方位的企业分析体系。该功能不仅支持对近5年A股全部上市公司的 原版财报进行解析与追问式解读，更能每日从全网舆情中实时捕捉热点，赋能用户战略研判与商业决策。 一直以来，「万联摩尔」始终紧扣产业真实需求、聚焦核心痛点，持续拓展产业级AI的应用广度与技术深度。未来，「万联摩尔」将通过持续打造高精 度、场景化的专用智能体，以模块化、可灵活调用的智能服务模式，为全产业各类场景提供颗粒度更精细、适配性更强的智能化解决方案。 作为一家以生产性服务业为主业的产业互联网标杆企业 ...

Core Insights - The current development of AI technology is at a critical stage of practical application, with a focus on integrating AI with the real economy to unlock its true value [1][2] - Wanlian Yida Group has developed an industry-level AI model, Wanlian Moore, which aims to empower various industry scenarios and facilitate the transition from general AI to industry-specific applications [1][2] Group 1 - The CEO of Wanlian Yida Group emphasized the importance of a dual model of "entity + internet" to bridge AI and industry [1] - Significant progress has been made in AI foundational research, computing power investment, and model capabilities in China, but challenges remain in commercial application and ecosystem development [1][2] - The company aims to construct a path for industrial empowerment from perceptual intelligence to decision-making intelligence by integrating high-quality, trustworthy data with AI models [2] Group 2 - China possesses the most complete industrial system globally, with 97 major industry categories and 1,382 subcategories, providing a rich environment for AI application [2] - The future trend of integrating industrial internet with AI should be application-oriented, focusing on complex scenarios that enable intelligent interaction and value co-creation [2] - The concept of an "AI super carrier" is proposed, which will unify various intelligent service units and serve as a gateway for more precise intelligent services across agriculture, industry, and services [2]

Core Insights - The current development of AI technology is entering a critical phase of practical application, with Wanlian Yida focusing on bridging AI and industry through a dual model of "entity + internet" [1][3] - Wanlian Yida has recently launched its self-developed industry-level AI model, Wanlian Moore, which aims to empower ecological partners and facilitate the transition from general AI to industry-specific applications [3][4] Group 1 - The global AI development is now in a deep-water phase, with significant advancements in basic research, computing power, and model capabilities in China, but challenges remain in commercial application and ecosystem construction [3] - The future of AI lies in its deep integration with the real economy, requiring a focus on industry scenarios to unlock its true value [3][4] Group 2 - Wanlian Moore is designed to cover comprehensive industry data, understand industry pain points, and provide accurate solutions, thus enhancing its competitive edge [3] - The company emphasizes the importance of high-quality, trustworthy data generated from years of industry experience to effectively integrate with AI models [3] Group 3 - Zhang Dong believes that the integration of AI and industry should be application-oriented, creating a super carrier for industry AI that can facilitate intelligent interaction and value co-creation across various sectors [4] - The vision is to enable all industry partners to achieve high-quality development through AI empowerment, highlighting the value of the industrial internet ecosystem [4]

Core Insights - Wanlian Yida Group is focusing on the integration of artificial intelligence (AI) with industry, aiming to enhance the quality of the real economy through its dual business model of "entity + internet" [1][3][5] - The company has developed an industry-level AI model, Wanlian Moore, which aims to empower various industry scenarios and facilitate the transition from generalized AI to specialized industry applications [1][8] Group 1: AI and Industry Integration - The Chinese government is promoting the deep integration of AI with industry under the "AI+" strategy, which is crucial for enhancing the quality of the real economy [3][5] - Despite significant advancements in AI foundational research and computational power, challenges remain in commercial application and ecosystem construction [3][5] - Wanlian Yida has a profound understanding of the pain points and challenges faced by industries, leveraging its long-term experience in the sector [3][5] Group 2: Ecosystem Development - The company is building an industrial internet ecosystem by integrating AI, trusted data spaces, and real business scenarios, creating platforms for various functions such as AI applications, commodity trading, logistics services, and smart finance [5][6] - The ecosystem aims to address the issues of "having models but no data" and "having data but no intelligence," enabling partners to move from solving known problems to discovering unknown opportunities [5][6] Group 3: Future Directions - Wanlian Moore is designed to cover all 97 major industry categories in the national economy, facilitating the connection of upstream and downstream industry chains and creating precise industry solutions [8][11] - The concept of an "AI super carrier" is introduced, which will serve as a unified entry point for various intelligent service units across agriculture, industry, and services [11] - The company emphasizes the importance of starting from real scenarios to ensure that AI is rooted in reality, aiming for a collaborative future in industrial development [11]

Core Insights - Wanlian Yida Group has launched the industry-level AI model "Wanlian Moore," marking a significant advancement in China's industrial AI model development [1] - The model leverages over 10 billion units of data from Wanlian Yida's industrial ecosystem and external trusted data, providing comprehensive industry data coverage, deep understanding of industry pain points, and accurate problem-solving capabilities [1][2] - Wanlian Moore aims to cover 97 major industry categories in the national economy in a phased manner [1] Application and Functionality - The model includes specialized functions for industrial knowledge and data Q&A, with breakthroughs in AI research report creation, price forecasting, and deep enterprise insights [1] - For instance, the price forecasting function can predict price trends for nearly 100 types of bulk commodities over the next five weeks, achieving an accuracy rate of over 90% [1][2] - This functionality allows procurement decision-makers to understand raw material price trends clearly, optimizing purchasing strategies and avoiding decision-making errors [1] Data Integration and Impact - Wanlian Moore's 90% accuracy is attributed to its use of reliable data, integrating vertical upstream and downstream relationships and horizontal industry competition dynamics, along with a dynamic updating mechanism [2] - The model's predictions consider various multidimensional data variables, such as supply and demand data for iron ore, and related indicators from steel, machinery manufacturing, and real estate [2] - The application of industry-level AI is expected to facilitate the transition of traditional industries from "experience-driven" to "data-driven" decision-making, potentially creating a 20% increment in the digital economy and 80% increment through empowering traditional industries with digital transformation [2] Future Development - Wanlian Moore will continue to enhance its capability for comprehensive industry coverage and deepen its application in key industries, fostering an open and inclusive industrial internet ecosystem [3]

Core Insights - The implementation of the "Artificial Intelligence + Action" strategy by the State Council aims to deeply integrate AI with various industries, positioning industrial-grade AI as a core driver for high-quality economic development in China [1][4] - The launch of "Wanlian Mole," the first full-industry AI model in China, is expected to leverage a vast amount of data and cover 97 major industry categories, enhancing the application of AI in the economy [1][3] Group 1: AI Model Features - "Wanlian Mole" distinguishes itself from general-purpose models by utilizing high-quality, credible data from the Wanlian Yida industrial internet ecosystem, enabling it to understand industry pain points and provide accurate answers [3][4] - The model includes specialized functions such as industry knowledge Q&A, AI research report creation, price forecasting, and enterprise insights, marking a significant advancement from mere conversational capabilities to informed decision-making [3][4] Group 2: Application and Performance - The AI research report creation feature offers eight types of professional templates, allowing users to generate high-quality research content through simple natural language input, thus supporting enterprise decision-making [3][4] - The price prediction function boasts an accuracy rate exceeding 90% across various categories, including black and non-ferrous metals, construction materials, energy, and agriculture, aiding procurement personnel in optimizing purchasing strategies [4] Group 3: Industry Context and Future Outlook - The development of industrial AI models is supported by China's comprehensive industrial system and strong policy backing, providing a fertile ground for growth [4] - Experts believe that the advancement of industrial AI will contribute to China's leadership in the next wave of global industrial technology transformation [4]

Core Insights - The article discusses the transformative potential of industry-level AI models in driving the real economy and enhancing efficiency across various sectors [2][4][8]. Group 1: Industry-Level AI Models - Industry-level AI models are designed to address specific pain points within sectors, offering significant advantages in data integration and problem-solving capabilities [3][4]. - These models can effectively reduce hidden costs and improve operational efficiency by leveraging structured data and dynamic industry maps [6][9]. Group 2: Challenges and Solutions - The transition from general AI models to industry-specific models presents challenges, including the need for continuous training to avoid errors in business predictions [5]. - A top-down approach is necessary to establish cross-industry data standards and accelerate the commercialization of AI applications [7]. Group 3: Future Directions - The future of industry-level AI models is expected to involve multi-modal integration, energy-efficient computing, and a shift from isolated applications to interconnected industry chains [9]. - China's rapid advancement in AI applications positions it to lead globally, with a focus on practical implementation and continuous development [8].

0:00 首个覆盖全产业的AI大模型上线 "通用大模型可以无所不知、无所不晓，任何问题都能即兴发挥。但答复的准不准、对不对，则需要用 户自己判断。"万联易达集团副总裁杜新凯在接受第一财经《数新风》栏目采访时如是说。他指出，通 用AI大模型让大众对未来社会发展有了很多想象空间，但当AI面向更具专业要求的产业问题时，则暴 露出了"专业性不足"的问题。 为进一步实现AI能力在产业端的应用落地，万联易达集团于近日正式上线了全产业AI大模型"万联摩 尔"。据了解，作为首个面向全产业打造的AI大模型，万联摩尔现阶段可调用产业生态沉淀的百亿量级 数据和外部可信数据，正计划分批次覆盖国民经济涉及到的97个行业大类。 相较于通用大模型，万联摩尔一方面沉淀了万联易达产业互联网生态系统产生的高质量可信数据，另一 方面使用了"融合产业动态图谱的结构化思考技术"，使其具备了产业数据覆盖全、产业痛点理解深、产 业问题回答准的显著优势。 产业级AI的崛起：从"通用"到"专用"的必然路径 随着国务院《关于深入实施"人工智能+"行动的意见》印发，推动AI与产业深度融合已成为国家战略。 另据行业数据显示，截至2025年第三季度，中国垂直领域大模 ...

Core Viewpoint - The launch of "Wanlian Moore," the first AI model covering the entire industry, aims to enhance the application of AI capabilities in various sectors, addressing the limitations of general AI models in specialized industrial contexts [2][4][6]. Group 1: AI Model Development - Wanlian Moore is designed to utilize a vast amount of high-quality data, integrating over 10 billion data points from the Wanlian Yida industrial internet ecosystem and external trusted sources, with plans to cover 97 major industry categories [2][4]. - The model employs "structured thinking technology based on an industrial dynamic map," allowing for comprehensive data coverage and precise understanding of industry pain points [2][6]. Group 2: Industry AI Trends - The Chinese government has emphasized the deep integration of AI with industry as a national strategy, with projections indicating that the number of vertical AI models in China will reach hundreds by Q3 2025 [5]. - The shift from general AI models to specialized industry AI models is seen as essential for addressing data sourcing, capability matching, data security, and computational power challenges [5][6]. Group 3: Technical Capabilities - Wanlian Moore's foundation is built on a robust and trustworthy data base, which is crucial for its functionality [6][8]. - The model's core technology allows for the disaggregation of complex industrial problems into manageable sub-problems, enabling expert-level analysis [6][8]. Group 4: Economic Impact - The integration of industry AI models is expected to create a 20% increment in the digital economy and potentially contribute 80% to economic growth through the digital transformation of traditional industries [8][12]. - The model's application is anticipated to enhance corporate profits, industry value-added, and national GDP as it becomes more widely adopted [8][12]. Group 5: Future Outlook - The future development of industry AI is expected to generate significant industrial and commercial value, with a focus on deep integration of software, hardware, models, and applications [13][14]. - Wanlian Moore aims to continuously enhance its capabilities across industries while fostering an open and inclusive industrial internet ecosystem to support high-quality development in China [13][14].