Glodon Company Limited played a significant role in the dual events—the "2025 CRECC Annual Conference" and "BAU China International Building Technology Expo"—held in Shanghai. Through keynote speeches and roundtable discussions, Glodon systematically elaborated on how "Industrial AI" serves as a core engine driving the industry toward new quality productivity.
At the concurrent BAU China expo, Glodon unveiled its self-developed construction industry AI model, AecGPT, and showcased a suite of AI-driven solutions spanning the entire project lifecycle, including design, cost estimation, construction, and project management.
As a key supporter of the CRECC Annual Conference, Glodon’s founder and strategic development advisor, Diao Zhizhong, attended the event. Chairman and President Yuan Zhenggang delivered a keynote speech and accepted the appointment as the "Director Unit of the AI Ecosystem Coordination Center" for the chamber. Additionally, Glodon’s Director and Senior Vice President Liu Qian moderated a roundtable discussion.
At BAU China, Vice President and Dean of the Digital Construction Research Institute, Liu Gang, delivered a speech titled "Industrial AI Empowers Intelligent Transformation in Construction," highlighting the synergy between the two events.
**Industrial AI Drives High-Quality Development, Deep Localization Guides Global Expansion** At the CRECC Annual Conference, Yuan Zhenggang’s keynote, "Industrial AI Drives New Value in Real Estate," analyzed current industry challenges and opportunities. He emphasized that Industrial AI is pivotal for transitioning from "experience-driven" to "high-quality development," offering a roadmap for sustainable growth amid cyclical downturns.
Yuan noted that the industry is shifting from scale expansion to quality enhancement. Bridging this gap requires systemic revolution, not isolated digital tools. Unlike general AI, Industrial AI integrates deep construction industry knowledge to provide "certainty" amid uncertainty. Its value spans the entire project lifecycle: data-driven decision-making in investment, automated monitoring via BIM and IoT in construction, and smart services in operations. Achieving this demands a Systematic Project Delivery (SPD) model, supported by a digital twin platform—a holistic solution for streamlined management and precise execution.
In a roundtable moderated by Liu Qian, industry leaders explored themes like globalization strategies, smart empowerment, and localization for Chinese real estate firms expanding overseas. Liu stressed that deep localization—understanding local culture, forging reliable partnerships, and complying with regulations—is critical for long-term global success.
**Industrial AI Breaks Barriers, Accelerating Intelligent Transformation in Construction** At BAU China’s "Beyond AI—Empowering Urban Futures" forum, Liu Gang presented "Value-Driven, Data-Powered: Industrial AI Fuels Intelligent Transformation in Chinese Construction." He highlighted how "AI + construction" is reshaping the sector but cautioned against common misconceptions. True breakthroughs hinge on Industrial AI—merging general AI with construction expertise, data, and engineering software to shift from exploring "possibilities" to enhancing "certainty."
Liu identified three pillars for Industrial AI success: high-value scenarios, high-quality data, and high-reliability models. Glodon’s "One Horizontal, One Vertical, One AI" strategy—featuring the AECOS digital platform, industrial graphics/design tools, and the AecGPT AI model—was showcased as a blueprint for practical AI adoption across projects.
Glodon’s expo booth demonstrated AI-driven solutions for design-cost integration, smart construction management, and more, illustrating tangible benefits like efficiency gains and cost reduction.
**AI-Powered Industry Synergy: Bridging Supply and Demand** Glodon hosted a supplier matchmaking event, "AI for 'Quality Materials, Building the Future'—100 Cities, 1,000 Projects, 10,000 Products," leveraging AI to streamline material sourcing. The initiative focuses on closing the "last mile" in supply-demand matching through data intelligence, platform efficiency, and deep collaboration support.
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