Core Insights - The rapid development of AI technology presents three key challenges for enterprises: generating real business value from AI investments, transforming proprietary data into competitive advantages, and scaling AI applications from pilot projects to widespread implementation [1] Group 1: AI Implementation Challenges - Enterprises must address how to create genuine business value from AI investments [1] - Companies need to leverage their proprietary data resources to enhance competitiveness [1] - The transition of AI applications from pilot phases to large-scale deployment is crucial [1] Group 2: Huawei's Proposed Solutions - Huawei introduced the "ACT three-step approach" to promote industry intelligence: Assess high-value scenarios, Calibrate AI models using vertical data, and Transform business operations with scaled AI agents [1] - To implement this approach, enterprises require AI-focused ICT infrastructure covering the entire process from data preparation to model training and inference [2] Group 3: Huawei's Product Offerings - Huawei has developed a range of integrated products in data storage, computing, and networking, including AI storage, UCM plugins, and high-speed data center network solutions [2] - The company has launched nine intelligent solutions across various industries, such as urban intelligence, digital healthcare, and smart logistics [2] Group 4: AI Success Stories - Successful AI implementation requires efficient collaboration among computing power, data, models, and platforms to create new value [3] - In over 30 industries and 500 scenarios, Huawei has demonstrated AI applications, such as predictive maintenance in the chemical industry, improving model prediction accuracy from 70% to 90% [3]