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

Faiza Allah Bukhsh; Paolo Ceravolo; Xu Chu; Samira Maghool; Eugene Wu; Cong Yu

doi:10.1145/3722212.3724492

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

Faiza Allah Bukhsh
, Paolo Ceravolo
, Xu Chu
, Samira Maghool
, Eugene Wu
, Cong Yu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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.

Original language	English
Title of host publication	SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data
Editors	Amol Deshpande, Ashraf Aboulnaga, Babak Salimi, Badrish Chandramouli, Bill Howe, Boon Thau Loo, Boris Glavic, Carlo Curino, Daisy Zhe Wang, Dan Suciu, Daniel Abadi, Divesh Srivastava, Eugene Wu, Faisal Nawab, Ihab Ilyas, Jeffrey Naughton, Jennie Rogers, Jignesh Patel, Joy Arulraj, Jun Yang, Karima Echihabi, Kenneth Ross, Khuzaima Daudjee, Laks Lakshmanan, Minos Garofalakis, Mirek Riedewald, Mohamed Mokbel, Mourad Ouzzani, Oliver Kennedy, Oliver Kennedy, Paolo Papotti, Peter Alvaro, Peter Bailis, Renee Miller, Senjuti Basu Roy, Sergey Melnik, Stratos Idreos, Sudeepa Roy, Theodoros Rekatsinas, Viktor Leis, Wenchao Zhou, Wolfgang Gatterbauer, Zack Ives
Publisher	Association for Computing Machinery (ACM)
Pages	872-873
Number of pages	2
ISBN (Electronic)	9798400715648
DOIs	https://doi.org/10.1145/3722212.3724492
Publication status	Published - 22 Jun 2025
Event	International Conference on Management of Data, SIGMOD/PODS 2025 - Berlin, Germany Duration: 22 Jun 2025 → 27 Jun 2025

Publication series

Name	Proceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)	0730-8078

Conference

Conference	International Conference on Management of Data, SIGMOD/PODS 2025
Abbreviated title	SIGMOD/PODS 2025
Country/Territory	Germany
City	Berlin
Period	22/06/25 → 27/06/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

data process management
large language models
process monitoring
trustworthy ai

Access to Document

10.1145/3722212.3724492Licence: CC BY

3722212.3724492Final published version, 910 KBLicence: CC BY

Cite this

Bukhsh, F. A., Ceravolo, P., Chu, X., Maghool, S., Wu, E., & Yu, C. (2025). LLM-DPM - Workshop on Large Language Models for Data Process Management. In A. Deshpande, A. Aboulnaga, B. Salimi, B. Chandramouli, B. Howe, B. T. Loo, B. Glavic, C. Curino, D. Zhe Wang, D. Suciu, D. Abadi, D. Srivastava, E. Wu, F. Nawab, I. Ilyas, J. Naughton, J. Rogers, J. Patel, J. Arulraj, J. Yang, K. Echihabi, K. Ross, K. Daudjee, L. Lakshmanan, M. Garofalakis, M. Riedewald, M. Mokbel, M. Ouzzani, O. Kennedy, O. Kennedy, P. Papotti, P. Alvaro, P. Bailis, R. Miller, S. B. Roy, S. Melnik, S. Idreos, S. Roy, T. Rekatsinas, V. Leis, W. Zhou, W. Gatterbauer, ... Z. Ives (Eds.), SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data (pp. 872-873). (Proceedings of the ACM SIGMOD International Conference on Management of Data). Association for Computing Machinery (ACM). https://doi.org/10.1145/3722212.3724492

Bukhsh, Faiza Allah ; Ceravolo, Paolo ; Chu, Xu et al. / LLM-DPM - Workshop on Large Language Models for Data Process Management. SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data. editor / Amol Deshpande ; Ashraf Aboulnaga ; Babak Salimi ; Badrish Chandramouli ; Bill Howe ; Boon Thau Loo ; Boris Glavic ; Carlo Curino ; Daisy Zhe Wang ; Dan Suciu ; Daniel Abadi ; Divesh Srivastava ; Eugene Wu ; Faisal Nawab ; Ihab Ilyas ; Jeffrey Naughton ; Jennie Rogers ; Jignesh Patel ; Joy Arulraj ; Jun Yang ; Karima Echihabi ; Kenneth Ross ; Khuzaima Daudjee ; Laks Lakshmanan ; Minos Garofalakis ; Mirek Riedewald ; Mohamed Mokbel ; Mourad Ouzzani ; Oliver Kennedy ; Oliver Kennedy ; Paolo Papotti ; Peter Alvaro ; Peter Bailis ; Renee Miller ; Senjuti Basu Roy ; Sergey Melnik ; Stratos Idreos ; Sudeepa Roy ; Theodoros Rekatsinas ; Viktor Leis ; Wenchao Zhou ; Wolfgang Gatterbauer ; Zack Ives. Association for Computing Machinery (ACM), 2025. pp. 872-873 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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title = "LLM-DPM - Workshop on Large Language Models for Data Process Management",

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.",

keywords = "data process management, large language models, process monitoring, trustworthy ai",

author = "Bukhsh, \{Faiza Allah\} and Paolo Ceravolo and Xu Chu and Samira Maghool and Eugene Wu and Cong Yu",

note = "Publisher Copyright: {\textcopyright} 2025 ACM.; International Conference on Management of Data, SIGMOD/PODS 2025<br/>, SIGMOD/PODS 2025 ; Conference date: 22-06-2025 Through 27-06-2025",

year = "2025",

month = jun,

day = "22",

doi = "10.1145/3722212.3724492",

language = "English",

series = "Proceedings of the ACM SIGMOD International Conference on Management of Data",

publisher = "Association for Computing Machinery (ACM)",

pages = "872--873",

editor = "Amol Deshpande and Ashraf Aboulnaga and Babak Salimi and Badrish Chandramouli and Bill Howe and Loo, \{Boon Thau\} and Boris Glavic and Carlo Curino and \{Zhe Wang\}, Daisy and Dan Suciu and Daniel Abadi and Divesh Srivastava and Eugene Wu and Faisal Nawab and Ihab Ilyas and Jeffrey Naughton and Jennie Rogers and Jignesh Patel and Joy Arulraj and Jun Yang and Karima Echihabi and Kenneth Ross and Khuzaima Daudjee and Laks Lakshmanan and Minos Garofalakis and Mirek Riedewald and Mohamed Mokbel and Mourad Ouzzani and Oliver Kennedy and Oliver Kennedy and Paolo Papotti and Peter Alvaro and Peter Bailis and Renee Miller and Roy, \{Senjuti Basu\} and Sergey Melnik and Stratos Idreos and Sudeepa Roy and Theodoros Rekatsinas and Viktor Leis and Wenchao Zhou and Wolfgang Gatterbauer and Zack Ives",

booktitle = "SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data",

address = "United States",

}

Bukhsh, FA, Ceravolo, P, Chu, X, Maghool, S, Wu, E & Yu, C 2025, LLM-DPM - Workshop on Large Language Models for Data Process Management. in A Deshpande, A Aboulnaga, B Salimi, B Chandramouli, B Howe, BT Loo, B Glavic, C Curino, D Zhe Wang, D Suciu, D Abadi, D Srivastava, E Wu, F Nawab, I Ilyas, J Naughton, J Rogers, J Patel, J Arulraj, J Yang, K Echihabi, K Ross, K Daudjee, L Lakshmanan, M Garofalakis, M Riedewald, M Mokbel, M Ouzzani, O Kennedy, O Kennedy, P Papotti, P Alvaro, P Bailis, R Miller, SB Roy, S Melnik, S Idreos, S Roy, T Rekatsinas, V Leis, W Zhou, W Gatterbauer & Z Ives (eds), SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data. Proceedings of the ACM SIGMOD International Conference on Management of Data, Association for Computing Machinery (ACM), pp. 872-873, International Conference on Management of Data, SIGMOD/PODS 2025
, Berlin, Germany, 22/06/25. https://doi.org/10.1145/3722212.3724492

LLM-DPM - Workshop on Large Language Models for Data Process Management. / Bukhsh, Faiza Allah; Ceravolo, Paolo; Chu, Xu et al.
SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data. ed. / Amol Deshpande; Ashraf Aboulnaga; Babak Salimi; Badrish Chandramouli; Bill Howe; Boon Thau Loo; Boris Glavic; Carlo Curino; Daisy Zhe Wang; Dan Suciu; Daniel Abadi; Divesh Srivastava; Eugene Wu; Faisal Nawab; Ihab Ilyas; Jeffrey Naughton; Jennie Rogers; Jignesh Patel; Joy Arulraj; Jun Yang; Karima Echihabi; Kenneth Ross; Khuzaima Daudjee; Laks Lakshmanan; Minos Garofalakis; Mirek Riedewald; Mohamed Mokbel; Mourad Ouzzani; Oliver Kennedy; Oliver Kennedy; Paolo Papotti; Peter Alvaro; Peter Bailis; Renee Miller; Senjuti Basu Roy; Sergey Melnik; Stratos Idreos; Sudeepa Roy; Theodoros Rekatsinas; Viktor Leis; Wenchao Zhou; Wolfgang Gatterbauer; Zack Ives. Association for Computing Machinery (ACM), 2025. p. 872-873 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - LLM-DPM - Workshop on Large Language Models for Data Process Management

AU - Bukhsh, Faiza Allah

AU - Ceravolo, Paolo

AU - Chu, Xu

AU - Maghool, Samira

AU - Wu, Eugene

AU - Yu, Cong

PY - 2025/6/22

Y1 - 2025/6/22

N2 - 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.

AB - 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.

KW - data process management

KW - large language models

KW - process monitoring

KW - trustworthy ai

UR - https://www.scopus.com/pages/publications/105010212382

U2 - 10.1145/3722212.3724492

DO - 10.1145/3722212.3724492

M3 - Conference contribution

AN - SCOPUS:105010212382

T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data

SP - 872

EP - 873

BT - SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data

A2 - Deshpande, Amol

A2 - Aboulnaga, Ashraf

A2 - Salimi, Babak

A2 - Chandramouli, Badrish

A2 - Howe, Bill

A2 - Loo, Boon Thau

A2 - Glavic, Boris

A2 - Curino, Carlo

A2 - Zhe Wang, Daisy

A2 - Suciu, Dan

A2 - Abadi, Daniel

A2 - Srivastava, Divesh

A2 - Wu, Eugene

A2 - Nawab, Faisal

A2 - Ilyas, Ihab

A2 - Naughton, Jeffrey

A2 - Rogers, Jennie

A2 - Patel, Jignesh

A2 - Arulraj, Joy

A2 - Yang, Jun

A2 - Echihabi, Karima

A2 - Ross, Kenneth

A2 - Daudjee, Khuzaima

A2 - Lakshmanan, Laks

A2 - Garofalakis, Minos

A2 - Riedewald, Mirek

A2 - Mokbel, Mohamed

A2 - Ouzzani, Mourad

A2 - Kennedy, Oliver

A2 - Papotti, Paolo

A2 - Alvaro, Peter

A2 - Bailis, Peter

A2 - Miller, Renee

A2 - Roy, Senjuti Basu

A2 - Melnik, Sergey

A2 - Idreos, Stratos

A2 - Roy, Sudeepa

A2 - Rekatsinas, Theodoros

A2 - Leis, Viktor

A2 - Zhou, Wenchao

A2 - Gatterbauer, Wolfgang

A2 - Ives, Zack

PB - Association for Computing Machinery (ACM)

T2 - International Conference on Management of Data, SIGMOD/PODS 2025<br/>

Y2 - 22 June 2025 through 27 June 2025

ER -

Bukhsh FA, Ceravolo P, Chu X, Maghool S, Wu E, Yu C. LLM-DPM - Workshop on Large Language Models for Data Process Management. In Deshpande A, Aboulnaga A, Salimi B, Chandramouli B, Howe B, Loo BT, Glavic B, Curino C, Zhe Wang D, Suciu D, Abadi D, Srivastava D, Wu E, Nawab F, Ilyas I, Naughton J, Rogers J, Patel J, Arulraj J, Yang J, Echihabi K, Ross K, Daudjee K, Lakshmanan L, Garofalakis M, Riedewald M, Mokbel M, Ouzzani M, Kennedy O, Kennedy O, Papotti P, Alvaro P, Bailis P, Miller R, Roy SB, Melnik S, Idreos S, Roy S, Rekatsinas T, Leis V, Zhou W, Gatterbauer W, Ives Z, editors, SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data. Association for Computing Machinery (ACM). 2025. p. 872-873. (Proceedings of the ACM SIGMOD International Conference on Management of Data). doi: 10.1145/3722212.3724492

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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