Core Insights - The real estate industry is in the early stages of AI transformation, with a need for more companies to implement AI in core areas [2] - Deloitte's research indicates that while some companies report unmet expectations from AI investments, none have ceased their investments, highlighting a growing emphasis on AI [1] Group 1: AI Trends and Characteristics - Companies recognize that the speed of AI's impact on business is not aligned with the rapid development of AI technologies [1] - The focus is shifting towards integrating AI into core business functions rather than just easy-to-implement areas [1] - There is a general lack of awareness regarding risk management associated with AI applications, which is crucial for internal and external business operations [1] - Companies are experiencing a transformation in roles, with management attitudes towards AI significantly influencing development speed and intensity [1] Group 2: Industry-Specific AI Developments - Deep Intelligence has launched the "Real Estate AI-Ready" strategy, marking a shift from fragmented tool empowerment to a systematic deployment of AI across the industry [3] - The strategy includes a comprehensive product matrix covering three business scenarios, aiming to facilitate a data-driven transformation in real estate [3] - The company emphasizes the importance of data quality as a major challenge for AI implementation in the real estate sector [5] Group 3: Product Innovations and Applications - Deep Intelligence has introduced eight products that cover three major application scenarios in real estate, aiming to redefine decision-making processes [8] - The "CRIC2025" platform and other AI-driven tools are designed to automate complex tasks traditionally performed by human analysts [8] - The introduction of digital employees signifies a new organizational model where human and AI collaboration enhances efficiency in real estate operations [8] Group 4: Market Positioning and Competitive Advantage - Deep Intelligence's products demonstrate significant advantages in knowledge depth, data breadth, and application capabilities compared to general and vertical AI platforms [7] - The company is building a "data moat" by upgrading its extensive data resources into a structured database that supports AI decision-making [9] - The integration of expert knowledge into AI models allows for the scalable transfer of professional insights, enhancing AI's business understanding [9]
深度智联地产AI就绪，房地产智能化进入“交付时刻”
3 6 Ke·2025-12-13 10:58