TY - GEN
T1 - Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)
AU - Bordawekar, Rajesh
AU - Shmueli, Oded
AU - Amsterdamer, Yael
AU - Borovica-Gajic, Renata
AU - Firmani, Donatella
N1 - Publisher Copyright: © 2024 Owner/Author.
PY - 2024/6/9
Y1 - 2024/6/9
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - data management
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85196408531&partnerID=8YFLogxK
U2 - 10.1145/3626246.3655013
DO - 10.1145/3626246.3655013
M3 - منشور من مؤتمر
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 649
EP - 650
BT - SIGMOD-Companion 2024 - Companion of the 2024 International Conferaence on Management of Data
T2 - 2024 International Conference on Management of Data, SIGMOD 2024
Y2 - 9 June 2024 through 15 June 2024
ER -