📄 中文摘要
近年来，人工智能被视为智能模型的竞争。人们普遍认为，拥有最先进模型的组织将在AI领域获胜。然而，实际情况却截然不同。在企业中，AI系统的表现往往与数据质量密切相关。即使使用相同的基础模型和基础设施，不同组织的结果也可能大相径庭。有的组织能够获得可靠的洞察、管理层的信任和可衡量的投资回报，而另一些则可能面临脆弱的试点和幻觉现象。由此可见，数据质量才是AI成功的关键因素。
数据质量而非模型才是人工智能的真正竞争优势
出处: Why Data Quality not Models is the Real Competitive Advantage in AI
发布: 2026年2月14日
📄 English Summary
Why Data Quality not Models is the Real Competitive Advantage in AI
In recent years, artificial intelligence has been portrayed as a competition for the smartest models, leading many to believe that organizations with access to the most advanced models will dominate the AI landscape. However, the reality within enterprises tells a different story. The performance of AI systems is closely tied to data quality rather than model sophistication. Organizations deploying the same foundational model and infrastructure can achieve vastly different outcomes. Some gain reliable insights, executive trust, and measurable ROI, while others struggle with brittle pilots and hallucinations. This highlights that data quality is the true competitive advantage in AI.