NeurDB: An AI-powered Autonomous Data System
This work addresses the problem of manual data management for end-users across industries by proposing a new system, but it appears incremental as it builds on existing AI-DB fusion trends.
The paper tackles the challenge of integrating AI into data systems to reduce user burden by introducing NeurDB, an autonomous data system that incorporates AI in all major components and offers in-database AI-powered analytics, though no concrete performance numbers are provided.
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.