专访|施耐德电气魏琨：AI 驱动能源管理革新，EcoStruxure Building GPT 引领楼宇运维智能化新范式

Core Insights - Schneider Electric launched the EcoStruxure Building GPT during the 2025 World Artificial Intelligence Conference, highlighting the transformative role of AI in building operations and energy management [2][5] - The integration of AI in energy management is seen as a strategic move aligned with national policies, marking 2025 as a pivotal year for AI deployment in the industry [3][4] AI in Energy Management - AI's implementation in energy management is driven by a strong data foundation, having evolved through automation and digitization phases, addressing industry pain points such as low efficiency and complex operations [4] - The focus of AI in energy management is on delivering tangible value by optimizing energy efficiency and simplifying operations, contrasting with traditional tool-oriented technologies [4][7] Impact of Generative AI - The rise of generative AI is democratizing technology access, reducing the skill barrier for operational staff, allowing them to interact with systems through natural language instead of requiring advanced technical knowledge [4][7] - The EcoStruxure Building GPT utilizes advanced mechanisms like "large model + RAG" and incorporates specific industry knowledge to enhance user experience and satisfaction [4][10] Product Features - The EcoStruxure Building GPT integrates extensive operational data and expert experience, ensuring it is tailored for the energy management sector rather than being a generic AI tool [8] - It offers lightweight deployment and cost control, allowing clients to easily upload necessary project information for automated processing [8] - The product supports private deployment to address data security concerns, enabling local implementation and self-managed operations [8] Economic Model - The pricing strategy for EcoStruxure Building GPT is based on value creation, linking costs directly to the savings achieved by clients in energy and labor [9] - The company emphasizes a results-oriented approach, ensuring that clients see immediate returns on their investments through AI-driven efficiencies [9] Future Outlook - Schneider Electric plans to continue advancing AI integration in energy management, with expectations of introducing new products at future AI conferences [9] - The company aims to position AI as a practical solution for real industry challenges, moving beyond mere technological showcases [9]