Can LLMs improve construction project decisions?
An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement
This paper proposes an AI-driven system for the construction and infrastructure sectors, addressing inefficiencies in data management and decision-making. It uses a "Data Mesh" to standardize data from diverse sources and a "Service Mesh" to manage microservices. A "Knowledge Graph" structures this data, while a multi-agent system, incorporating LLMs, performs tasks like project summarization, risk analysis, and technical research. Key to the LLM-based multi-agent system is the integration of uncertainty modeling to improve the reliability of insights, dynamic updates from web and journal sources, and flexible invocation of different LLMs (including RAG configurations) based on specific agent needs. The system aims to provide real-time, data-driven insights for improved project management and strategic planning within the industry.