@inproceedings{e80b58f883ea440e9862ced8312e0b22,
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,
day = "4",
doi = "https://doi.org/10.1145/3555041.3590818",
language = "الإنجليزيّة",
series = "Proceedings of the ACM SIGMOD International Conference on Management of Data",
pages = "303--304",
booktitle = "SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data",
}