IBM：生成式AI行动指南——利用生成式AI推动变革 2025

Core Insights - The report emphasizes that generative AI is a key driver of transformation in enterprises, facilitating innovation, productivity enhancement, and market expansion [1][3]. Group 1: Importance of Generative AI in Enterprises - Generative AI is crucial for innovating business and operational models, providing data access, generating new insights, expanding markets, and accelerating product and service development [1][3]. - Executives believe that both traditional AI and generative AI will play significant roles in these areas over the next three years [1]. Group 2: Applications of Generative AI Across Various Fields - In the data and technology sector, generative AI can optimize product development processes, quickly generate code, assist IT in becoming a launchpad for business innovation, and help select appropriate AI models while controlling computing costs [3]. - In operations, it can reshape business models, automate processes, enhance financial analysis capabilities, support procurement teams, strengthen risk management, and promote supply chain innovation [3]. - In the talent domain, generative AI alters work methods and required skills, necessitating a strategic focus on talent and employee AI skill enhancement [3]. Group 3: Recommendations for Enterprises - Companies should clarify application scenarios and expected benefits, align talent strategies with generative AI, emphasize employee training and skill enhancement, establish appropriate governance frameworks, balance innovation with risk, and strengthen cross-departmental collaboration to maximize the value of generative AI [1][3].