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 graphical 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'22 particularly focuses on the transparent exploitation of AI techniques in existing enterprise-level data management workloads.
Original language | English |
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Title of host publication | SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data |
Publisher | Association for Computing Machinery |
Pages | 2550-2551 |
Number of pages | 2 |
ISBN (Electronic) | 9781450392495 |
DOIs | |
State | Published - 10 Jun 2022 |
Event | 2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022 - Virtual, Online, United States Duration: 12 Jun 2022 → 17 Jun 2022 |
Publication series
Name | Proceedings of the ACM SIGMOD International Conference on Management of Data |
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ISSN (Print) | 0730-8078 |
Conference
Conference | 2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 12/06/22 → 17/06/22 |
Bibliographical note
Funding Information:Yael Amsterdamer is financially supported by the Israel Science Foundation (grant no. 2015/21) and a grant from the Israel Ministry of Science and Technology.
Publisher Copyright:
© 2022 Owner/Author.
Keywords
- databases
- machine learning
- neural network