【环球网科技报道 记者 林梦雪】从帮程序员优化代码，到为农民规划育种方向，人工智能迈入大模型时代以来，正以超预 期的迭代速度，从实验室的算法推演冲向产业一线。伴随着 "看懂世界" 的多模态魔力，如何构建覆盖全产业链的 AI 超级 载体、实现技术与产业的深度融合，也成为当前人工智能领域的核心命题。 近日，万联易达举办了"以应用破局·以生态聚力"为主题的"AI+产业发展"专题研讨会。会上，全国首个"产业人工智能研究 与应用专家委员会"也正式揭牌，共同推进产业AI大模型在全产业应用落地。 从通用能力到实体交互，多模态融合引领 AI 技术新变革 "人工智能进入大模型时代仅几年，但发展速度远超预期。"清华大学人工智能研究院常务副院长、欧洲科学院外籍院士孙 茂松指出，当前 AI 技术呈现出 "能力涌现" 的显著特征，复杂任务处理能力直线上升。以代码大模型为例，其在国际代码 大赛中的表现已超越人类，硅谷程序员岗位需求也随之下降。多模态大模型则实现了文本、图像、视频、语音的融合处 理，让 "AI 看懂世界" 成为可能。 "万联易达天然的产业基因，百亿量级的结构化产业可信数据，以及遍布全国的区域网络，融通贸易、物流、金融及生产 ...

当前，人工智能已成为引领新一轮科技革命和产业变革的核心驱动力，"AI+产业发展"迎来政策红利与 市场需求叠加的黄金期。 "涌现窗口期"： AI与产业融合仍存挑战 （来源：经济参考报） 当前，以人工智能为代表的新一代信息技术正以前所未有的深度与广度重构千行百业，成为驱动产业升 级、塑造国家竞争新优势的战略引擎。"十五五"规划建议明确提出，加强人工智能同产业发展相结合， 抢占人工智能产业应用制高点，全方位赋能千行百业。 在AI技术从实验室走向规模化产业落地的关键阶段，如何打通从技术突破到价值创造的"最后一公里"？ 中国拥有完备的产业体系，如何让AI扎根产业实际场景，在与实体经济的深度融合中实现"双向奔赴"？ 这些已成为当下推动高质量发展的重要课题。日前，在由万联易达控股集团有限公司（简称"万联易 达"）举办的"以应用破局·以生态聚力——AI+产业发展"专题研讨会上，来自人工智能领域的专家学者 以及产业界代表，围绕人工智能与产业深度融合、产业AI推动中国实体经济转型升级的实践路径与未 来方向展开了深入探讨。 2025年8月，国务院印发《关于深入实施人工智能+行动的意见》，将"'人工智能'+产业发展"列为核心 任务； ...

Core Insights - The MEET2026 Intelligent Future Conference, hosted by Quantum Bit, gathered experts from academia, industry, and startups to discuss AI technology innovations and applications [1] - The "Wanjun Moer" AI model, developed by Wanjun Yida Group's subsidiary Wanjun Zhihui, won the "2025 Outstanding AI Product" award for its integration of industry knowledge and practical application capabilities [1] Group 1: Product Features - "Wanjun Moer" features three main advantages: comprehensive industry data coverage, deep understanding of industry pain points, and accurate problem-solving capabilities, enabling a transition from mere dialogue to informed decision-making [3] - The report creation function offers eight expert-level templates, facilitating high-quality research report writing for professionals, thus supporting enterprise decision-making and industry insights [3] - The price prediction function covers over 100 major commodity categories, achieving over 90% accuracy in price predictions for various materials such as steel and iron ore [3] Group 2: Company Strategy - Wanjun Moer focuses on real industry needs and core pain points, continuously expanding the application breadth and technical depth of industry-level AI [5] - The company aims to build a comprehensive industrial internet ecosystem through a "platform + service + data + AI" model, enhancing high-quality development and creating diverse industrial value [5] - The core development path relies on "ecological scenarios + credible data + artificial intelligence," driving digital and intelligent transformation across all industry services [5]

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].

Core Insights - The launch of "Wanlian Moore," the first AI model covering all industries, aims to address the professional inadequacies of general AI models by utilizing high-quality data and structured thinking technology [2][6][11] - The Chinese government is promoting the deep integration of AI with industries as a national strategy, with projections indicating that the number of vertical AI models in China will reach hundreds by Q3 2025 [4][11] - The transition from general AI capabilities to specialized industry AI is seen as essential for enhancing data quality, security, and computational power in enterprises [5][11] Group 1: AI Model Development - "Wanlian Moore" is designed to leverage a vast amount of industry data, aiming to cover 97 major industry categories in China [2][6] - The model integrates high-quality data from the Wanlian Yida ecosystem and employs structured thinking technology to provide accurate industry insights [6][10] - The model's price prediction accuracy exceeds 90% across various categories, aiding procurement decisions [10] Group 2: Industry Impact - The development of industry-specific AI models is expected to significantly enhance enterprise profits, industry value, and national GDP [7][11] - The integration of data, AI technology, and application scenarios is crucial for the success of industry AI [8][11] - The model aims to assist traditional industries in transitioning from experience-driven to data-driven decision-making, potentially increasing economic growth by 80% [6][10] Group 3: Future Outlook - The future of industry AI is anticipated to create substantial industrial and commercial value, supported by a complete industrial system and strong policy backing in China [11] - The focus will be on deep integration of software, hardware, models, and applications to adapt to industry needs and promote continuous iteration [11] - Wanlian Moore will continue to enhance its capabilities and foster an open industrial internet ecosystem to support high-quality development in traditional industries [11]