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]

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].