（文/刘媛媛 编辑/周远方） 2025年被业内认为是人工智能"爆发"元年，随着通用大模型技术日趋成熟，AI应用正从消费端快速渗透 至产业端，掀起新一轮效率革命。 在刚刚落幕的2025世界人工智能大会（WAIC）上，AI与实体经济的深度融合自然也成为关注焦点之 一。而在这场产业智能化转型的浪潮中，万联易达集团凭借其创新的"AI Solution for Industry"发展范 式，成为推动产业互联网生态建设的标杆企业。 万联易达成立于2018年，在数字经济浪潮中敏锐把握产业互联网发展机遇，已发展成为集人工智能应 用、商品交易、整车物流、数智金融服务于一体的产业互联网生态系统运营商。 如今，依托多年深耕产业积累的行业洞察和海量数据资源，万联易达正在全力打造可覆盖90多个行业的 全产业大模型，旨在帮助传统产业发展实现由"链"到"网"的价值重构。 "我们的全产业大模型并非锚定某个特定行业问题，而是要覆盖国民经济涉及到的90多个行业。"万联易 达集团副总裁杜新凯在WAIC期间与观察者网交流时表示，目前万联易达正分批次推进大模型建设，核 心技术创新是自主研发了"基于产业动态图谱的结构化思考模型"。 万联易达想做的不是简 ...

Group 1 - The 2025 Global Digital Economy Conference focused on the theme "Digital Intelligence Leading, Scene Breaking, Ecological Symbiosis," gathering over 200 experts and representatives from various sectors to discuss new paths, scenes, and ecosystems for industrial internet empowerment [1] - Beijing aims to achieve a digital economy value of 2 trillion yuan and information software industry revenue exceeding 3 trillion yuan by 2024, supported by policies, technological advancements, and infrastructure improvements [3] - The integration of digital economy and real economy is a significant trend in China's economic development, with recommendations for leveraging industrial internet to enhance this integration [6] Group 2 - The 2024 Beijing Digital Economy Benchmark Enterprise Evaluation Report was released, highlighting that 100 benchmark enterprises contribute significantly to the growth and high-quality development of the digital economy [8] - The 2024 Annual Report by the Lanting International Think Tank discusses the global economic growth and China's high-quality development, emphasizing the role of digital empowerment in driving industrial development [10] - The forum featured multiple reports, including the "2025 Beijing Information Software Industry Development Report" and "Beijing Artificial Intelligence + Application Scenario Map," showcasing the ongoing advancements in the digital economy [8]

Group 1: AI Strategy and Advantages - The company has developed a large model, AecGPT, specifically for the construction industry, which was released in 2024 and can pass the national construction examination with high scores [2] - Key elements for successful industrial AI include high-quality data, valuable scenarios, and reliable models [2] - The company possesses a comprehensive engineering construction knowledge base that supports the construction large model [2] Group 2: AI Application Scenarios - The company focuses on three main directions for AI scenario implementation: integrated design, refined cost management, and precise construction management [3][4] - In integrated design, AI is used to enhance design workflows and assist in construction drawing design [3] - Refined cost management leverages AI and data to drive detailed cost management throughout the project lifecycle [4] Group 3: Value Measurement and Commercialization - High-value AI applications should be able to deliver a complete task process, be measurable in value, and continuously learn and optimize [5] - The AI intelligent bidding product has been implemented in 716 construction bidding projects in Hainan, resulting in an average bid reduction rate of 8% and saving approximately CNY 4.56 billion [5] - The commercial value of AI products is closely linked to technological maturity and the ability to meet new demands [6] Group 4: Future AI Opportunities - Future high-value AI scenarios will emerge from both technological breakthroughs and evolving market demands [7] - The upcoming market reforms in September 2025 will drive the need for effective data management and cost control in the construction industry [7] - The company is developing an automatic database construction product that will enhance data collection and analysis efficiency [7]

Core Insights - Japan's AI industry has faced significant challenges despite initial strengths, leading to a decline in its global competitiveness [1][3][4] - The historical context of Japan's AI development reveals a pattern of overconfidence and misallocation of resources, particularly in large-scale projects like the Fifth Generation Computer project [6][8] - The current trajectory of China's AI industry shows a stark contrast to Japan's past, emphasizing the importance of openness, inclusivity, and consumer engagement in technological advancement [23][24][26] Group 1: Historical Context of Japan's AI - Japan's AI was once a formidable force, comparable to the US, but has since struggled to maintain its position due to a lack of practical applications and innovation [1][3] - The Fifth Generation Computer project, initiated in 1981 with a budget of 100 billion yen, aimed to create an advanced AI system but ultimately failed to meet expectations, leading to a decline in Japan's AI capabilities [4][6] - The focus on large-scale, government-led AI initiatives created a closed ecosystem that stifled innovation and excluded smaller players from contributing to the industry [8][10] Group 2: Lessons for China's AI Development - China's AI industry is characterized by a large domestic market that supports both industrial and consumer demands, unlike Japan's reliance on exports [23][24] - The foundation of China's AI sector is built on a diverse range of technologies, including telecommunications and cloud computing, fostering a culture of innovation and openness [24][26] - To avoid repeating Japan's mistakes, China's AI development must prioritize inclusivity and adaptability, ensuring that the industry can respond to changes and validate its value in the market [26]

Core Insights - The China Digital Construction Conference held on May 16-17 focused on "AI + Fine Management" to explore new development models in the construction industry [2][16] - The event attracted nearly a hundred industry organizations and large enterprises, highlighting the importance of digital transformation and AI integration in construction [2][4] Group 1: Industry Trends - The global service trade's digital technology penetration has surpassed 65%, indicating a significant shift in the construction industry from traditional methods to a more integrated digital approach [4] - The construction industry is experiencing a transformation characterized by the integration of AI and fine management, which injects new vitality into traditional practices [4][6] Group 2: AI Integration - The concept of "AI + Fine Management" is seen as a practical process for discovering, organizing, and utilizing resources within the construction sector [6] - The integration of AI in construction is expected to reshape traditional business models and create new digital ecosystems [6][10] Group 3: Digital Infrastructure - The establishment of a global mutual recognition system for "AI + Standards" and the development of digital service trade infrastructure are essential for high-quality industry growth [4] - The construction industry is encouraged to leverage a comprehensive digital platform that integrates various levels of production and service industries [8] Group 4: Company Innovations - Companies like Glodon are focusing on creating high-quality data through the integration of BIM and IoT, which supports the entire lifecycle of construction projects [12] - Huawei Cloud is promoting intelligent upgrades in the construction industry through cloud and AI technologies, emphasizing the importance of data aggregation and efficient governance [15] Group 5: Collaborative Efforts - The conference served as a platform for industry collaboration, allowing enterprises to share development opportunities and engage in practical cooperation [16] - Various presentations highlighted the importance of AI in enhancing project management and operational efficiency within the construction sector [12][15]