AI-Driven Innovations in Database Engineering: Challenges and Opportunities

Abstract

This article focuses on applying artificial intelligence (AI) in database engineering with special reference to increased efficiency in managing data. AI-enabled change in the operational structures of traditional database management systems includes Automation, intelligent optimization, and improvements in predictive analytics. However, questions like computational complexity, how different components interface, and the ethic questions remain unanswered. These challenges are analyzed for this study along with new opportunities that have emerged with it such as better query processing and improved data security. Based on case studies, comparative analysis and a brief review of the state of the art and perspectives of using artificial intelligence in database engineering are discussed in the article. Impetus is made more on applying and using concepts in business areas such as finance, health, and commerce. Based on the presented studies, several recommendations concerning the limitations of mitigation and AI promotion are discussed; the role of AI is claimed to be indispensable in the development of the database engineering field.