Related papers: NeurDB: An AI-powered Autonomous Data System

NeurDB: An AI-powered Autonomous Data System

URL: http://arxiv.org/abs/2405.03924v2
Date: Thu, 4 Jul 2024 08:48:45 GMT
Title: NeurDB: An AI-powered Autonomous Data System
Authors: Beng Chin Ooi, Shaofeng Cai, Gang Chen, Yanyan Shen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao,
Abstract summary: We present NeurDB, an AI-powered autonomous data system designed to fully embrace AI design in each major system component. We outline the conceptual and architectural overview of NeurDB, discuss its design choices and key components, and report its current development and future plan.
Score: 44.14807794638682
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: 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.

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