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苏州城投集团推出“人工智能+”8条举措
Su Zhou Ri Bao· 2025-04-14 00:23
Core Insights - Suzhou Urban Investment Group held a conference focusing on the integration of artificial intelligence (AI) technology and innovation practices, aiming to establish a high-level "AI+" innovation development pilot zone [1] - The group introduced an AI development application platform and digital human products, outlining an action plan with eight initiatives to enhance the integration of large models with core business operations [1] Group 1: AI Initiatives - "AI + Park": Redesigning park elements to create smart products, focusing on dynamic optimization of building energy efficiency and equipment operation monitoring to tackle energy consumption and equipment management issues [1] - "AI + Pipeline": Developing a multimodal operation and maintenance model for intelligent analysis of underground structural disaster mechanisms, disaster reduction measures, and disaster monitoring and early warning [1] - "AI + Real Estate": Establishing digital employees and intelligent sales assistants to optimize the information exchange process in real estate transactions [1] - "AI + Construction": Building a large data model for intelligent equipment to enhance capabilities in construction scene perception, human-machine interaction, and autonomous decision-making [1] - "AI + Water Management": Creating an intelligent hotline and equipment processing model, along with developing intelligent control models for water treatment processes to improve pipeline efficiency [1] Group 2: Additional AI Applications - "AI + Consumption": Utilizing a large membership platform to integrate diverse services such as commerce and leasing, innovating consumer experiences through technology [2] - "AI + Environment": Leveraging green low-carbon AI agents to intelligently generate green low-carbon strategies and improve solid waste detection models, promoting resource utilization [2] - "AI + Services": Developing an auditing assistant that integrates key audit points with enterprise data processes to enhance audit efficiency and accuracy [2]