Published: 01 December 2022
负责人工智能（AI）管理的中国数据和分析领导者，肩负着推动数字化转型的重要责任，因此需要和提供轻量级数据AI产品的厂商合作，提高数据使用效率，加快创造业务价值，加快推动数字化转型。
AI普及的主要障碍在于，其业务影响或业务价值难以衡量，以及人们对AI的收益和用途缺乏了解。
很多企业机构有一个错误的概念，就是将大数据视为AI发展的前提条件。大数据的收集和维护成本非常高，影响到AI项目的投资回报率（ROI）和实施速度。
专门提供轻量级数据AI技术的厂商，可以帮助企业机构使用较少的数据推动AI项目、创造业务价值。
管理AI项目的领导者应：
针对自身的业务驱动使用场景，寻找可以高效利用数据的轻量级数据AI技术，然后选择专门提供此类技术的厂商来加速实施AI项目。
将关注点从大数据转向小而宽数据，探索AI产品所创造的价值，而不是过多专注于数据收集本身。
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Analysts:
Ben Yan, Mike Fang, Julian Sun, Xingyu Gu, Fay Fei, Tong Zhang
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