AI时代的气象服务，如何从“服务”到“决策”？

Core Viewpoint - Moji Weather is undergoing a significant transformation, shifting from traditional weather services to a model focused on decision-making empowerment through technology and data-driven insights [1][4][22]. Group 1: Brand and Product Transformation - The company unveiled a new visual identity and brand philosophy at its recent event, emphasizing a shift towards "predictive meteorological services" [3][4]. - New products were introduced for both B2B and B2C markets, including the AeroMetis aviation meteorological SaaS platform and the AI Life Index, which provide tailored decision-making support based on weather data [3][9]. Group 2: Industry Challenges and Solutions - Traditional weather forecasting faces challenges such as low precision and the inability to provide actionable insights, leading to inefficiencies in decision-making for users and businesses [5][8]. - The company aims to address these issues by leveraging AI to enhance forecasting accuracy and provide specific, actionable recommendations for users and businesses [9][10]. Group 3: AI Integration and Market Potential - Moji Weather is integrating AI technologies to optimize its forecasting models, enabling high-resolution predictions and personalized decision-making solutions [10][14]. - The company is also expanding its international presence, aiming to build a global meteorological service system and tapping into a market projected to grow significantly, with estimates reaching 300 billion yuan by 2025 [15][22]. Group 4: Business Strategy and Value Creation - The dual focus on B2B and B2C markets is central to the company's strategy, with efforts to deepen integration of meteorological data into various industry processes, enhancing operational efficiency and risk management [18][21]. - A notable case includes the development of a specialized thunderstorm forecasting system for high-altitude airports, which has significantly reduced flight delays [17]. Group 5: Future Directions - The company plans to support emerging sectors such as low-altitude economy and renewable energy by providing critical weather data to enhance operational safety and efficiency [24][25].