arXiv · 2603.10133
Agentic Control Center for Data Product Optimization
Abstract
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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Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai, Ken C. L. Wong, Faisal Chowdhury, Horst Samulowitz. 2026-03-10. Agentic Control Center for Data Product Optimization. https://arxiv.org/abs/2603.10133
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