Core Viewpoint - The article emphasizes the importance of data as a core production factor in driving high-quality development within the digital economy, highlighting the role of data-driven economic development and market-oriented reforms [1]. Group 1: Event Overview - The fifth Global Data Business Conference was held in Shanghai, focusing on the theme "Connecting Global Business for the Future" and gathering representatives from government, industry, academia, and research to discuss opportunities in data-driven economic development [1]. - Huawei participated in the conference, co-hosting a forum on "AI + Data Infrastructure to Release Data Factor Value," which aimed to create a collaborative innovation platform for government and enterprises [3]. Group 2: Government and Industry Collaboration - Shanghai is leveraging "Blockchain + Privacy-Preserving Computing" and comprehensive computing power layouts to enhance data circulation and utilization, addressing challenges in cross-domain data flow and security [6]. - Huawei's full-stack technology support is crucial for ensuring the security of the entire data lifecycle and optimizing computing power scheduling in Shanghai's digital infrastructure [6]. Group 3: AI and Data Infrastructure - The era of AI is characterized by a data-centric approach, where data serves as the core "fuel" for AI, necessitating the construction of AI-Ready data infrastructure with five core capabilities: data, computing power, storage, models, and circulation [8]. - Huawei aims to enhance investment in AI data infrastructure and collaborate with global partners to unlock the value of data factors, facilitating digital transformation across various industries [8]. Group 4: Local Practices and Innovations - Shanghai Data Group's CTO shared the "Shanghai Plan" for a trusted data space, which focuses on unified infrastructure and capabilities to overcome technical bottlenecks and expand application scenarios [10]. - The collaboration between Shanghai Data Group and Huawei aims to establish a secure foundation for public data authorization and create a compliance system for efficient data circulation [10]. Group 5: Insights on Data Value Release - Huawei's senior expert highlighted the shift from an algorithm-centric to a data-centric model in the AI era, emphasizing the need for AI-Ready data infrastructure with capabilities for multi-modal data processing and integrated platforms [15]. - The construction of a data engineering pipeline is essential for automating the processing of various data modalities, thereby unlocking data value and driving business growth [17]. Group 6: Future Directions - Huawei's proposed "1+1+M+N" technical architecture for urban data infrastructure aims to ensure data supply, facilitate data flow, and meet compliance needs while building a secure and efficient technical support system [19]. - The company plans to continue innovating in AI and data infrastructure technology, enhancing collaboration with government and research institutions to support the release of data factor value and contribute to high-quality digital economic development [19].