AI-Supported Data Management for Monitoring Platforms
JRC Working Paper Series For a Fair, Innovative and Sustainable Economy, 2/2025
A monitoring platform is a software system designed to observe, track, and analyze the state and performance of a given environment. Its core function is to collect data from diverse sources, process it, and generate insights through analysis and visualization. Recent advancements in Artificial Intelligence (AI) — and in particular, the emergence of Large Language Models (LLMs) — offer promising opportunities to enhance the functionality and efficiency of such platforms.
This paper explores how various modules of a monitoring platform can be augmented through AI technologies. Given that a key objective of any monitoring platform is to provide as comprehensive and current a representation of the monitored system as possible, it is essential not only to ensure regular updates of existing datasets but also to incorporate new, relevant data sources as they become available.
To this end, we focus specifically on the data management component of monitoring platforms. We examine how AI can support a typical data management workflow — from data submission and validation to integration and ongoing maintenance — to help ensure data accuracy, completeness, and the timely delivery of actionable insights about the monitored environment.
MAZAK-HUEMER Alexandra;
2025-09-18
European Commission
JRC142578
https://publications.jrc.ec.europa.eu/repository/handle/JRC142578,
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