Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)

Rajesh Bordawekar; Oded Shmueli; Yael Amsterdamer; Donatella Firmani; Andreas Kipf

doi:10.1145/3555041.3590818

Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)

Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf

Department of Computer Science

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

Abstract

Recent advances in AI techniques, as well as enabling hardware and infrastructure, has led to the integration of AI in wide-ranging domains and tasks. In particular, AI has been used to handle various types of data (including numerical, textual and image data) and has been adopted in large-scale distributed systems. From a data management perspective, this calls for the harnessing of state-of-the-art AI solutions for data management tasks and systems. aiDM is a full-day workshop that offers a stage for innovative interdisciplinary research that studies the interaction between AI and data management and develops new AI technologies for data-related tasks. This year, aiDM'23 particularly focuses on the transparent exploitation of AI techniques in existing enterprise-level data management workloads.

Original language	English
Title of host publication	SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data
Publisher	Association for Computing Machinery
Pages	303-304
Number of pages	2
ISBN (Electronic)	9781450395076
DOIs	https://doi.org/10.1145/3555041.3590818
State	Published - Jun 2023
Event	2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023 - Seattle, United States Duration: 18 Jun 2023 → 23 Jun 2023

Publication series

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

Conference

Conference	2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023
Country/Territory	United States
City	Seattle
Period	18/06/23 → 23/06/23

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.

Funding

Some authors are financially supported by the Israel Science Foundation (grant no. 2015/21) and a grant from the Israel Ministry of Science and Technology.

Funders	Funder number
Israel Science Foundation	2015/21
Ministry of science and technology, Israel

Keywords

artificial intelligence
data management
machine learning

Access to Document

10.1145/3555041.3590818

Cite this

Bordawekar, R., Shmueli, O., Amsterdamer, Y., Firmani, D., & Kipf, A. (2023). Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). In SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data (pp. 303-304). (Proceedings of the ACM SIGMOD International Conference on Management of Data). Association for Computing Machinery. https://doi.org/10.1145/3555041.3590818

Bordawekar, Rajesh ; Shmueli, Oded ; Amsterdamer, Yael et al. / Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2023. pp. 303-304 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

@inproceedings{a54b3807bd5345b2af79e26183c73a9b,

title = "Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)",

abstract = "Recent advances in AI techniques, as well as enabling hardware and infrastructure, has led to the integration of AI in wide-ranging domains and tasks. In particular, AI has been used to handle various types of data (including numerical, textual and image data) and has been adopted in large-scale distributed systems. From a data management perspective, this calls for the harnessing of state-of-the-art AI solutions for data management tasks and systems. aiDM is a full-day workshop that offers a stage for innovative interdisciplinary research that studies the interaction between AI and data management and develops new AI technologies for data-related tasks. This year, aiDM'23 particularly focuses on the transparent exploitation of AI techniques in existing enterprise-level data management workloads.",

keywords = "artificial intelligence, data management, machine learning",

author = "Rajesh Bordawekar and Oded Shmueli and Yael Amsterdamer and Donatella Firmani and Andreas Kipf",

note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023 ; Conference date: 18-06-2023 Through 23-06-2023",

year = "2023",

month = jun,

doi = "10.1145/3555041.3590818",

language = "אנגלית",

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

publisher = "Association for Computing Machinery",

pages = "303--304",

booktitle = "SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data",

}

Bordawekar, R, Shmueli, O, Amsterdamer, Y, Firmani, D & Kipf, A 2023, Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). in SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data. Proceedings of the ACM SIGMOD International Conference on Management of Data, Association for Computing Machinery, pp. 303-304, 2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023, Seattle, United States, 18/06/23. https://doi.org/10.1145/3555041.3590818

Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). / Bordawekar, Rajesh; Shmueli, Oded; Amsterdamer, Yael et al.
SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2023. p. 303-304 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

TY - GEN

T1 - Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)

AU - Bordawekar, Rajesh

AU - Shmueli, Oded

AU - Amsterdamer, Yael

AU - Firmani, Donatella

AU - Kipf, Andreas

PY - 2023/6

Y1 - 2023/6

N2 - Recent advances in AI techniques, as well as enabling hardware and infrastructure, has led to the integration of AI in wide-ranging domains and tasks. In particular, AI has been used to handle various types of data (including numerical, textual and image data) and has been adopted in large-scale distributed systems. From a data management perspective, this calls for the harnessing of state-of-the-art AI solutions for data management tasks and systems. aiDM is a full-day workshop that offers a stage for innovative interdisciplinary research that studies the interaction between AI and data management and develops new AI technologies for data-related tasks. This year, aiDM'23 particularly focuses on the transparent exploitation of AI techniques in existing enterprise-level data management workloads.

AB - Recent advances in AI techniques, as well as enabling hardware and infrastructure, has led to the integration of AI in wide-ranging domains and tasks. In particular, AI has been used to handle various types of data (including numerical, textual and image data) and has been adopted in large-scale distributed systems. From a data management perspective, this calls for the harnessing of state-of-the-art AI solutions for data management tasks and systems. aiDM is a full-day workshop that offers a stage for innovative interdisciplinary research that studies the interaction between AI and data management and develops new AI technologies for data-related tasks. This year, aiDM'23 particularly focuses on the transparent exploitation of AI techniques in existing enterprise-level data management workloads.

KW - artificial intelligence

KW - data management

KW - machine learning

UR - https://www.scopus.com/pages/publications/85162851629

U2 - 10.1145/3555041.3590818

DO - 10.1145/3555041.3590818

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85162851629

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

SP - 303

EP - 304

BT - SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data

PB - Association for Computing Machinery

T2 - 2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023

Y2 - 18 June 2023 through 23 June 2023

ER -

Bordawekar R, Shmueli O, Amsterdamer Y, Firmani D, Kipf A. Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). In SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data. Association for Computing Machinery. 2023. p. 303-304. (Proceedings of the ACM SIGMOD International Conference on Management of Data). doi: 10.1145/3555041.3590818

Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this