Abstract
Recent advances in AI techniques, as well as enabling hardware and infrastructure, have led to the integration of AI across 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'24 particularly focuses on the transparent exploitation of AI techniques (e.g., using Generative AI frameworks) for data management for enterprise class workloads.
| Original language | English |
|---|---|
| Title of host publication | SIGMOD-Companion 2024 - Companion of the 2024 International Conferaence on Management of Data |
| Publisher | Association for Computing Machinery |
| Pages | 649-650 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798400704222 |
| DOIs | |
| State | Published - 9 Jun 2024 |
| Event | 2024 International Conferaence on Management of Data, SIGMOD 2024 - Santiago, Chile Duration: 9 Jun 2024 → 15 Jun 2024 |
Publication series
| Name | Proceedings of the ACM SIGMOD International Conference on Management of Data |
|---|---|
| ISSN (Print) | 0730-8078 |
Conference
| Conference | 2024 International Conferaence on Management of Data, SIGMOD 2024 |
|---|---|
| Country/Territory | Chile |
| City | Santiago |
| Period | 9/06/24 → 15/06/24 |
Bibliographical note
Publisher Copyright:© 2024 Owner/Author.
Keywords
- artificial intelligence
- data management
- machine learning