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Construction Industry Giant, Glodon, Releases AI Strategy Document

Advocates Pushing for Widespread AI Integration Across Industries.

Construction industry giant, Glodon, unveils an AI-focused blueprint in its recent white paper.
Construction industry giant, Glodon, unveils an AI-focused blueprint in its recent white paper.

Construction Industry Giant, Glodon, Releases AI Strategy Document

Glodon's White Paper Outlines a Practical AI Framework for the Construction Industry

The construction sector is on the cusp of a significant transformation, and Glodon's latest white paper, "Construction Enterprises' AI Initiatives," offers a clear, practical framework for embracing this change.

The white paper, available on the Glodon website, aims to drive the construction sector's transition towards intelligent, high-value development. It emphasizes the importance of Industrial AI, a specialized AI suited for industry needs, in addressing the unique challenges of the construction sector.

Prof. Ma Zhiliang from Tsinghua University outlines three key steps for effective AI implementation in construction enterprises. These steps provide an actionable pathway to build AI capabilities tailored to construction-specific needs.

The framework focuses on identifying core challenges in AI adoption within construction, followed by providing a clear, forward-looking, and practical framework to guide enterprises through their AI journey. This includes building foundational AI capabilities across various organizational levels.

The white paper serves as both a strategic guide and practical manual for construction enterprises. It offers a systematic and actionable roadmap for applying AI in the construction industry, emphasizing the development of AI capabilities around the core value chain of the construction business: integrated design, refined cost management, and precise construction management.

Glodon's software offers several tools that enhance operational efficiency and support profit growth. For instance, intelligent pricing improves cost management efficiency by 80%, while AI-based quantity takeoff reduces traditional processes from 16 hours to 4. AI-driven labor and material management applications optimize key production factors during construction. Smart tower cranes are part of Glodon's construction solutions for optimizing time and costs.

The white paper also introduces Glodon's AI-powered conceptual design software, Concetto, which generates multiple design plans and estimates costs in seconds. The software is part of Glodon's comprehensive software ecosystem for the entire building lifecycle.

The framework is positioned as a roadmap enabling companies to start their AI journey, supporting the transformation of construction enterprises by integrating industrial AI. Building and activating a mutually reinforcing flywheel around these four elements is key to embedding AI in real business processes.

In summary, Glodon's white paper offers a systematic and actionable roadmap for applying AI in the construction industry. It provides a clear, practical framework for implementing AI, ensuring that construction firms develop effective AI strategies that fit their specific contexts and accelerate industry-wide adoption. For detailed implementation steps and guidance, interested parties are encouraged to access the white paper on the Glodon website.

The white paper, positioned as a roadmap, advocates integrating artificial-intelligence into the construction industry, offering a practical framework for its implementation. This framework emphasizes the development of AI capabilities around the core value chain, encompassing finance, as AI-based quantity takeoff significantly reduces traditional processes and improves operational efficiency.

Moreover, the construction sector is set to benefit from advanced technology, such as Glodon's AI-powered design software, Concetto, which automates conceptual design and cost estimation. This technology, part of Glodon's comprehensive software ecosystem, is poised to revolutionize the finance and technology aspects of the construction industry.

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