华为提出行业智能化「三步走」路径，为产业AI落地破题

Core Insights - The article discusses how Huawei is addressing the challenge of implementing AI in business to create real commercial value, emphasizing the need for a structured approach to AI integration in various industries [2][5][12]. Group 1: Huawei's Approach to AI Implementation - Huawei has developed a "three-step" path for enterprises to transform their operations through AI, which includes assessing high-value scenarios, calibrating models with vertical industry data, and scaling AI agents to reshape key business processes [8][9]. - The company has released nine industry-specific solutions covering sectors such as government, education, healthcare, finance, and manufacturing, establishing a replicable standard for industry transformation [4][5]. Group 2: Key Findings on Intelligent Transformation - Five critical findings were shared regarding intelligent transformation: the importance of scenario selection, the necessity of high-quality domain data for model capability, the rapid scaling of AI agents, the emergence of human-machine collaboration as a new organizational paradigm, and the need for systematic governance and risk management [5][6][12]. - The emphasis on scenario selection highlights that technology must serve the essence of business rather than merely adding superficial enhancements [6][12]. Group 3: AI as a Growth Engine - AI is positioned as a key engine for business growth, integral to the entire value chain from research and development to production and service [12][16]. - Huawei's AI capabilities have been validated through extensive applications in its own operations, providing valuable industry know-how and a comprehensive end-to-end solution from foundational computing to industry applications [13][15]. Group 4: Role of Partnerships - Huawei's extensive partner ecosystem, comprising over 6,300 Kunpeng partners and 2,700 Ascend partners, plays a crucial role in translating generic AI technologies into customized solutions that address specific industry needs [15][16]. - The collaboration with partners is essential for bridging the gap between technology and business value, ensuring that AI solutions are effectively tailored to meet the unique challenges of different sectors [15].