AI让企业像精密仪器一样精准运营，深圳打造不动产科技创新“先行地”

Core Insights - The article emphasizes the shift from "extensive" growth based on land appreciation and rapid turnover to "intrinsic" development through quality products and precise investments, with AI being a key tool for this transition [1][4] Group 1: AI Applications in Real Estate - Key AI application areas for real estate companies include product design and customer insights, where AI analyzes vast amounts of customer feedback and browsing data to optimize housing designs and community amenities [3] - In investment decision-making and targeted marketing, AI can integrate multi-dimensional data such as demographics and transportation to conduct more scientific value assessments and risk simulations, reducing land acquisition errors [3] - AI enables precise customer profiling and channel optimization, enhancing marketing conversion efficiency and aiding in inventory reduction through personalized content generation [3] Group 2: Breakthroughs in Shenzhen - Shenzhen, as a core engine of the Guangdong-Hong Kong-Macao Greater Bay Area, has seen local companies achieve breakthroughs in key areas such as real-time 3D visualization management of large parks or building complexes, optimizing space utilization and energy distribution [4] - AI-driven customer service systems can handle numerous online inquiries, including fluent interactions in Cantonese with visitors from Hong Kong, enhancing cross-border service experiences [4] - The integration of IoT and AI video analysis in smart inspection systems can automatically identify safety hazards, shifting facility management from "human defense" to "intelligent defense" [4] Group 3: Future Management Roles - As AI takes on standardized tasks like inspections and customer service, the role of real estate management will evolve from direct execution to planning and decision-making in collaboration with AI [6] - Future managers will act more like AI trainers, focusing on defining complex operational issues for optimization and setting clear goals and rules for AI outputs [6] Group 4: Cultivating New Management Talent - Shenzhen should leverage its industrial ecosystem to cultivate new management talent by breaking down barriers and providing real-world scenarios for training in AI management tools [8] - The article suggests that local smart parks and buildings could serve as open laboratories for practical training, emphasizing practical skills over theoretical knowledge [8] Group 5: Integration of Technologies - The combination of AI large models, IoT, digital twins, and intelligent agent technologies is crucial for achieving the vision of smart buildings that can sense, think, and make decisions [9] - In investment and design, digital twins and big data analysis can enable more accurate benefit simulations and risk assessments [9] - In construction, smart building technologies integrated with industrial IoT can enhance efficiency and quality control [9]