用AI代理自动优化数据产品，让专家轻松提升数据可用性。
Agentic Control Center for Data Product Optimization
- 设计多智能体系统，持续优化数据产品支持资产
- 通过多维质量指标监控，实现自动化改进闭环
- 支持人工介入，兼顾效率与可信度，适合数据团队
数据产品通过提供示例问题-SQL对等辅助资产，帮助用户从数据中获得更深入洞察。然而，构建有用的数据产品极具挑战性，通常需要领域专家手工设计辅助资产。我们提出一个系统，通过在持续优化循环中运行专用AI代理，实现数据产品的自动化改进。该系统能主动发现提问、监控多维度质量指标，并支持人机协同控制，将数据转化为可观测且可迭代的资产，在自动化与信任监督之间取得平衡。
原文摘要 · Abstract (English)
Data products enable end users to gain greater insights about their data by providing supporting assets, such as example question-SQL pairs which can be answered using the data or views over the database tables. However, producing useful data products is challenging, and typically requires domain experts to hand-craft supporting assets. We propose a system that automates data product improvement through specialized AI agents operating in a continuous optimization loop. By surfacing questions, monitoring multi-dimensional quality metrics, and supporting human-in-the-loop controls, it transforms data into observable and refinable assets that balance automation with trust and oversight.
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