Published: 26 June 2024
面对经济不确定性和人工智能（AI）的快速发展，中国的企业机构比以往任何时候都更强调其数智基建的直接投资回报率（ROI）和适应性。中国的数据和分析领导者在考虑数智基建的建设方法时，应将重点转向构建数据、分析和AI生态系统。
宏观经济的不确定性促使中国企业机构强调其数据和分析（D&A）投资的直接业务价值。数据中台等纯粹由技术驱动的大而全D&A平台无法确保切实的商业回报，因此正在失去利益相关者的支持。
中国几乎所有行业的领军企业都在探索海外业务，以确保第二增长曲线。跨环境数据集成的合规性和效率正成为跨境企业面临的主要挑战。
企业内部的数据、分析和AI服务各自为营，导致企业机构缺乏AI就绪型数据，因此难以构建可靠的生成式人工智能（GenAI）用例。
希望通过数据驱动为企业创造切实价值的中国D&A领导者，应：
选择与能够在其提供的应用中嵌入商业化数智基建能力的软件即服务（SaaS）/平台即服务（PaaS）供应商合作，而不是与那些提供大量定制化服务的供应商合作。
与能够同各类云生态系统广泛和深入协作的云中立数智基建供应商合作，提高混合云和互联云环境下数据集成的效率和合规性。
与具备强大元数据管理能力、与AI供应商密切合作的数智基建供应商合作，提高企业数据的AI就绪度。
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