Sep 2026· International Journal for Research in Applied Science and Engineering Technology· 0 citations
TL;DR
The concept, working process, key features, benefits, challenges, applications, and future scope of AI-powered self-healing databases in simple and easy-to-understand language are explained.
Abstract
Artificial Intelligence (AI)-powered self-healing databases are advanced database systems that can automatically detect,
analyze, and resolve problems without continuous human intervention. These databases use AI, machine learning, and
automation to monitor system health, optimize performance, improve security, and recover from failures. They reduce downtime,
increase reliability, and simplify database management. This paper explains the concept, working process, key features, benefits,
challenges, applications, and future scope of AI-powered self-healing databases in simple and easy-to-understand language
The fundamental concepts of AI, its major techniques, including machine learning, deep learning, expert systems, fuzzy logic, reinforcement learning, explainable AI, and generative AI, and their roles in modern decision support systems are examined.
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