Artificial Intelligence in Cloud Data Management: Enhancing Performance and Security

Abstract

Cloud data management has become an essential element in modern enterprises, driven by the need to handle vast amounts of data efficiently. With the integration of Artificial Intelligence (AI), cloud data management systems can now automate, optimize, and secure data operations more effectively. AI techniques such as machine learning, deep learning, and neural networks have enabled real-time analytics, predictive maintenance, and anomaly detection in cloud environments. Furthermore, AI enhances data security by identifying vulnerabilities and predicting potential threats, thus mitigating risks. This paper explores the synergy between AI and cloud data management, focusing on how AI improves performance, optimizes resource utilization, and strengthens security frameworks. The challenges of implementing AI in cloud data management, including data privacy, integration complexities, and resource overhead, are also discussed. The research aims to provide insights into the transformative impact of AI on cloud data operations and future trends in this domain.