NeurDB: an AI-powered autonomous data system

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

doi:10.1007/s11432-024-4125-9

NeurDB: an AI-powered autonomous data system

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^*

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

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 (AI×DB) 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, and self-driving capabilities for improved system performance. 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.

Original language	English
Article number	200901
Journal	Science China Information Sciences
Volume	67
Issue number	10
DOIs	https://doi.org/10.1007/s11432-024-4125-9
Publication status	Published - Oct 2024

Keywords

AI×DB
in-database AI
intelligent data system

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10.1007/s11432-024-4125-9

Cite this

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title = "NeurDB: an AI-powered autonomous data system",

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 (AI×DB) 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, and self-driving capabilities for improved system performance. 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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AU - Ooi, Beng Chin

AU - Cai, Shaofeng

AU - Chen, Gang

AU - Shen, Yanyan

AU - Tan, Kian Lee

AU - Wu, Yuncheng

AU - Xiao, Xiaokui

AU - Xing, Naili

AU - Yue, Cong

AU - Zeng, Lingze

AU - Zhang, Meihui

AU - Zhao, Zhanhao

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AB - 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 (AI×DB) 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, and self-driving capabilities for improved system performance. 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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KW - in-database AI

KW - intelligent data system

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NeurDB: an AI-powered autonomous data system

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Keywords

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