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.
|Title of host publication||SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data|
|Publisher||Association for Computing Machinery|
|Number of pages||2|
|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
|Name||Proceedings of the ACM SIGMOD International Conference on Management of Data|
|Conference||2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022|
|Period||12/06/22 → 17/06/22|
Bibliographical noteFunding 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.
© 2022 Owner/Author.
- machine learning
- neural network