Overview - Many companies have invested heavily in artificial intelligence, deploying models and building decision support systems, but these systems still require human approval for decisions and updates, indicating a gap in true autonomy [3][6] - The emergence of agent-based AI systems aims to bridge this gap by not only predicting outcomes but also taking actions based on those predictions, thus addressing the limitations of traditional predictive AI [3][6] What is an AI Data Platform - Most teams view their "data platform" as a tool for collecting, transforming, and storing data, but these systems often fail to provide meaningful insights from the data [6][7] - An AI data platform integrates the entire lifecycle of AI management, combining data ingestion, transformation, cataloging, governance, and access into a single environment [7] Key Components of an Enterprise AI Data Platform 1. **Data Collection and Integration** - The platform must connect various data sources without introducing manual bottlenecks, ensuring data integrity and adaptability to changing data patterns [10] 2. **Unified Data Storage and Access** - A single unified layer allows structured, semi-structured, and unstructured data to coexist, enabling AI workloads to access consistent and high-fidelity data [11] 3. **Embedded Governance** - Governance should be integrated within the platform to automatically manage data quality, lineage, security, and compliance, fostering trust in the data used by AI systems [12] 4. **Context and Memory Layer** - This layer retains historical knowledge and business significance, allowing AI systems to reason over time rather than just react to the latest data [13] 5. **Observability and Monitoring** - The platform must provide deep observability to track the health, accuracy, and reliability of data flowing into AI systems, facilitating continuous improvement [14] Business Benefits of AI Data Platforms 1. **Faster Decision Cycles** - Unified storage and automated ingestion enable near real-time decision-making, significantly reducing the time required for data coordination [15] 2. **Reduced Operational Friction** - By synchronizing the entire data process, the platform minimizes the operational challenges faced by downstream users [16][17] 3. **Reliable AI Outcomes** - Embedded governance ensures that AI actions are based on trustworthy, compliant, and high-quality data, instilling confidence in decision-making [18] 4. **Context-Aware Automation** - The context and memory layer allows AI to act consciously, learning from historical patterns and adjusting autonomously [19] 5. **Improved ROI on AI Investments** - A stable data foundation enables new models and projects to create value without starting from scratch [20] 6. **Agile Compliance** - Embedded governance mechanisms ensure compliance from the outset, allowing for innovation without sacrificing control [21] 7. **Cultural Shift Towards Autonomous Operations** - Reliable data systems encourage teams to focus on outcomes rather than micromanaging processes, fostering a proactive culture [22] Data Developer Platform: Transitioning to AI-Ready Infrastructure - The Data Developer Platform (DDP) serves as an operating system for data teams, abstracting complexity and integrating tools for a seamless experience [23][25] - By combining data ingestion, processing, storage, governance, and monitoring into a unified architecture, DDP creates a reliable and scalable environment for AI systems [25][26] Empowering Agent-Based AI at Scale - DDP provides consistent context, trustworthy data, and scalability, essential for enterprise-level agent-based AI systems [26][27] - Treating data as a product enhances its accessibility and reliability, allowing AI agents to act confidently based on meaningful data [26][27]

Group 1: Industry Transformation and Cooperation - The forum emphasizes the importance of cooperation between South Korea and China in the context of digital transformation and emerging industries, aiming to enhance mutual understanding and trust [1][3] - The second phase of the South Korea-China Free Trade Agreement negotiations should be expedited, with a suggestion to lower some standards if a consensus cannot be reached [1][3] Group 2: Tourism and Cultural Exchange - Recent policies, such as South Korea's temporary visa exemption for Chinese group tourists, have led to a significant increase in travel interest, with a 70% rise in searches for travel products to Seoul [6][7] - The cultural exchange facilitated by social media platforms like Xiaohongshu is fostering deeper connections between Chinese and Korean citizens, enhancing mutual understanding [5][6] Group 3: Technological Innovation and AI - The rapid development of artificial intelligence is expected to reshape industries, with companies like Yalecar leading innovations in the global tourism sector through AI-driven data platforms [4][9] - The integration of AI in manufacturing processes is being prioritized, with companies like LingShu Intelligent focusing on industrial applications and collaborations with South Korean firms [10] Group 4: Robotics Industry Collaboration - The demand for robots is increasing, but challenges remain for small and medium enterprises in adopting AI technologies; collaboration between South Korea and China in robotics can enhance the industry ecosystem [8][9] - Companies like ZhiYuan Robotics are pushing for deep integration of AI and robotics, promoting open data sharing to foster industry growth [9] Group 5: Cultural and Media Cooperation - The importance of long-term perspectives in media reporting is highlighted, suggesting that both countries' media should focus on fostering positive narratives and mutual understanding [11][12] - Collaborative projects between mainstream media and self-media can help shape public opinion positively and mitigate cognitive biases [12][13]

Group 1 - The core transaction involves Zhejiang Shenghua selling 193,316,930 domestic shares to Chip Cloud Intelligence at a price of HKD 0.079 per share, totaling approximately HKD 15.27 million, which represents about 38.16% of Shenghua Land's total issued shares [1] - Shenghua also agreed to sell 65,022,000 H-shares to Junran Technology at the same price of HKD 0.079 per share, amounting to approximately HKD 5.14 million, representing about 12.84% of Shenghua Land's total issued shares [1] - After the completion of these transactions, Zhejiang Shenghua will no longer hold any shares in Shenghua Land, and Shengyang will directly hold 52,578,000 H-shares, accounting for approximately 10.38% of the total issued shares [1] Group 2 - Following the completion of the transactions, the offerors and their concert parties will collectively own approximately 51.00% of Shenghua Land's total issued shares [2] - According to the takeover code, the offerors must make a mandatory unconditional offer for all remaining issued shares not already owned or agreed to be acquired by them, with the offer price for domestic shares set at RMB 0.072, equivalent to HKD 0.079, and for H-shares at HKD 0.079, which is a discount of about 20.20% from the last trading price [2] Group 3 - Shenghua Land has applied to the Stock Exchange to resume trading of H-shares starting from 9:00 AM on July 28, 2025 [3] - Chip Cloud Intelligence primarily provides chemical trading services, big data services, and AI data platform technology services, and is wholly owned by Shanghai Chip Cloud and Cloud [3] - Junran Technology focuses on technology investment, software and hardware development, and consulting services, and is wholly owned by Mr. Zhang Yi [3]