Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)
Authors: 
Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, 
Donatella Firmani, Andreas KipfAuthors Info & Claims
Pages 303 - 304
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.
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Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, and Tim Kraska. 2021. Bao: Making Learned Query Optimization Practical. In SIGMOD. 1275--1288.
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Waseem Rawat and Zenghui Wang. 2017. Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review. Neural Comput., Vol. 29, 9 (2017), 2352--2449.
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Index Terms
- Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)
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Information
Published In
June 2023
330 pages
ISBN:9781450395076
DOI:10.1145/3555041
- General Chairs:
- Sudipto Das,
- Ippokratis Pandis,
- Program Chairs:
- K. Selçuk Candan,
- Sihem Amer-Yahia
Copyright © 2023 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 05 June 2023
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- Israel Ministry of Science and Technology
- Israel Science Foundation
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SIGMOD/PODS '23
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Overall Acceptance Rate 785 of 4,003 submissions, 20%
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