企业培训| 未可知 x 国家能源集团: AI 赋能智能化转型

Core Insights - The article discusses a training session led by Zhang Ziming, Vice President of the Unknown AI Research Institute, focusing on how AI can empower the energy sector's intelligent transformation [1][4]. Group 1: Training Overview - The training session was titled "AI Empowering Intelligent Transformation in the Energy Industry" and aimed to help enterprises seize opportunities in AI technology [1]. - Zhang Ziming, an expert in AI with dual master's degrees from Peking University and the National University of Singapore, presented the core differences between generative AI and decision-making AI [3]. Group 2: Training Content - The training covered three dimensions: global AI technology trends (macro), the value of AI in the energy industry (meso), and implementation paths for enterprises (micro) [3]. - Practical examples included the application of AI in smart inspection by State Grid, AI customer service by Southern Power Grid, and Huawei's Pangu model, demonstrating AI's effectiveness in grid optimization, renewable energy forecasting, and intelligent operations [3]. Group 3: Practical Tools and Skills - In the practical tools segment, Zhang Ziming demonstrated applications like DeepSeek and prompt engineering, emphasizing the need for talent to integrate technical and emotional skills in the AI era [3]. - Interactive games allowed participants to experience efficiency improvements in AI text generation and image creation, such as using DeepSeek for social media posts and AI tools for energy promotional posters [3]. Group 4: Conclusion and Future Outlook - Zhang Ziming concluded that the essence of AI is to enhance human efficiency, urging companies to embrace intelligence from a strategic perspective [4]. - The Unknown AI Research Institute has provided customized services to several energy companies, helping them build digital competitiveness [4][5]. - The training received high praise from participants at the State Energy Group, injecting new momentum into the intelligent transformation of the energy sector [5].