The LLM-DPM Workshop investigates the transformative impact of Large Language Models (LLMs) and Explainable AI (XAI) on Data and Process Management. With organizations facing growing dependence on intricate data-driven workflows, there is an urgent demand for systems that prioritize not only efficiency but also transparency, reliability, and equity. This workshop serves as a dedicated platform to explore the convergence of LLMs, process mining, and database technologies, tackling critical issues such as enhancing data integrity, refining query understanding, forecasting process outcomes, and optimizing system performance. Featuring technical discussions, keynote speeches, and collaborative panels, LLM-DPM seeks to bridge the gap between academic research and industry applications, inspiring innovative approaches and advancing the creation of accountable, AI-powered solutions for process management challenges.

LLM-DPM - Workshop on Large Language Models for Data Process Management / F.A. Bukhsh, P.C. - In: SIGMOD/PODS '25 / [a cura di] V. Markl, J. M. Hellerstein. - [s.l] : Association for Computing Machinery (ACM), 2025 Jun 22. - ISBN 979-8-4007-1564-8. - pp. 872-873 (( International Conference on Management of Data : June, 22nd - 27th Berlin 2025 [10.1145/3722212.3724492].

LLM-DPM - Workshop on Large Language Models for Data Process Management

P. Ceravolo
Secondo
;
X. Chu;S. Maghool;
2025

Abstract

The LLM-DPM Workshop investigates the transformative impact of Large Language Models (LLMs) and Explainable AI (XAI) on Data and Process Management. With organizations facing growing dependence on intricate data-driven workflows, there is an urgent demand for systems that prioritize not only efficiency but also transparency, reliability, and equity. This workshop serves as a dedicated platform to explore the convergence of LLMs, process mining, and database technologies, tackling critical issues such as enhancing data integrity, refining query understanding, forecasting process outcomes, and optimizing system performance. Featuring technical discussions, keynote speeches, and collaborative panels, LLM-DPM seeks to bridge the gap between academic research and industry applications, inspiring innovative approaches and advancing the creation of accountable, AI-powered solutions for process management challenges.
data process management; large language models; process monitoring; trustworthy AI
Settore INFO-01/A - Informatica
22-giu-2025
Association for Computing Machinery (ACM)
ACM Special Interest Group on Management of Data
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1274640
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