In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a transformative leap in data systems. The imminent fusion of AI and DB (AIxDB) promises a new generation of data systems, which will relieve the burden on end-users across all industry sectors by featuring AI-enhanced functionalities, such as personalized and automated in-database AI-powered analytics, self-driving capabilities for improved system performance, etc. In this paper, we explore the evolution of data systems with a focus on deepening the fusion of AI and DB. We present NeurDB, an AI-powered autonomous data system designed to fully embrace AI design in each major system component and provide in-database AI-powered analytics. We outline the conceptual and architectural overview of NeurDB, discuss its design choices and key components, and report its current development and future plan.
@article{arxiv.2405.03924,
title = {NeurDB: An AI-powered Autonomous Data System},
author = {Beng Chin Ooi and Shaofeng Cai and Gang Chen and Yanyan Shen and Kian-Lee Tan and Yuncheng Wu and Xiaokui Xiao and Naili Xing and Cong Yue and Lingze Zeng and Meihui Zhang and Zhanhao Zhao},
journal= {arXiv preprint arXiv:2405.03924},
year = {2024}
}