“ACT”三步走，破题行业智能化的华为答案

Core Insights - The article emphasizes the challenges industries face in integrating AI technology into core production processes, highlighting the need for practical solutions to unlock commercial value from AI investments [1][4] - Huawei proposes a systematic approach to address these challenges, focusing on five key discoveries and a three-step "ACT" implementation path to facilitate industry-wide AI adoption [3][6] Group 1: Key Discoveries - The importance of selecting the right scenarios for AI integration, as its value lies in deep integration with core production processes to reshape workflows and deliver intelligent products and services [5] - The quality of vertical data is crucial for building competitive industry models, necessitating the training and tuning of general models with high-quality, industry-specific data [5] - The rapid scaling of AI agents is driving a strong demand for large-scale reasoning capabilities [5] - Human-machine collaboration is emerging as a new organizational paradigm [5] - Systematic governance and risk management are essential to ensure the safe, sustainable, and trustworthy application of AI [5] Group 2: ACT Implementation Path - The first step, assessing high-value scenarios, involves a framework that evaluates commercial value, scenario maturity, and the integration of business and technology, helping identify over 1,000 core AI production scenarios [6][7] - The second step focuses on calibrating AI models using vertical industry data, transforming raw data into actionable knowledge and models through Huawei's AI development and data governance platforms [7] - The final step is the large-scale deployment of AI agents to reshape key business operations, facilitated by Huawei's versatile platform that automates the generation of intelligent agents and business processes [7]