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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.
Bordawekar et al. (Thu,) studied this question.