在临港新片区滴水湖AI创新港里，由数据驱动的创新场景随处可见：工程师标注海外道路数据，助力 中国车企自动驾驶适应异国交规；AI分析养猪场实时信息，精准预测生猪出栏；智能技术将意大利名 画转为三维场景，使人"走进"文艺复兴。 "来数加工"是临港新片区近期兴起的新业态。与传统的"来料加工"不同，它是以海外原始数据为原料， 通过清洗、标注、分析等处理，生成可供使用的数据产品和服务。 作为全国首个推出字段级一般数据清单的区域，临港率先通过"操作指引+负面清单"的模式，为数据跨 境流动铺设了"高速公路"。如今，临港正全力建设国际数据加工枢纽，打造数据出海的"超级跳板"。今 年8月，临港新片区管理委员会联合多部门发布《临港新片区国际数据加工枢纽建设方案》，更是明确 了来数加工、数字文化出海、数字化服务能力出海等重点方向。 临港新片区管理委员会数据处四级调研员王亮表示，当前全球国际数据加工产业需求激增，临港正抢抓 机遇，夯实数字化能力成熟、人力成本合理、算力与通信基础设施全球领先等优势，力争建设成为国际 数据互联互通与开展数字贸易的首选之地。 中新网上海8月20日电 (记者 李姝徵)当清晨的阳光掠过洋山港的集装箱码头，智能 ...

Core Viewpoint - The article emphasizes the importance of leveraging data as a new production factor to drive economic growth and improve efficiency across various industries, highlighting the need for a demand-driven approach to unlock the value of data [1][2][3]. Group 1: Data as a Production Factor - Data is increasingly integrated into various industries, enhancing the efficiency of traditional production factors such as materials, talent, technology, and capital, thereby promoting high-quality economic development [1]. - The application of data in diverse scenarios can lead to the emergence of new business models and economic growth opportunities [1]. Group 2: Industry Development Ecosystem - A robust industry development ecosystem is essential for maximizing data value, which includes nurturing data service providers and encouraging innovative operational models [2]. - The number of data service companies in China has exceeded 1 million over the past decade, playing a crucial role in activating data value [2]. Group 3: Data Security and Compliance - Ensuring data security and compliance is critical, as both corporate and personal data are sensitive and require protection of rights and privacy [3]. - Establishing a trustworthy data circulation environment involves collaboration among leading enterprises and industry associations to create a standardized and compatible data space [3]. Group 4: Market Development and Challenges - The ongoing market-oriented reform of data allocation is expected to enhance the value of data in social governance, industrial upgrading, and improving people's livelihoods [3]. - Addressing issues such as data barriers, low supply quality, and inefficient circulation is necessary to develop a fair and efficient data market [3].