Intelligent Data Management in Cloud Using AI
Mohd Amaan Khan, Ranjan Walia
Abstract
The rapid growth of data in various domains has necessitated the need for efficient and intelligent data management techniques in cloud storage. This research paper explores the application of AI-driven approaches to enhance data accessibility, security, and performance in cloud storage systems.First, the paper investigates the challenges faced in traditional data management systems, such as limited accessibility, potential security vulnerabilities, and performance bottlenecks. These challenges are addressed by leveraging the power of artificial intelligence techniques.The research presents an overview of the role of AI in data management, including machine learning algorithms, natural language processing, and computer vision. These AI-driven approaches enable intelligent data classification, indexing, and retrieval, facilitating improved data accessibility in cloud storage environments.Furthermore, the paper discusses how AI can enhance security measures in cloud storage. It explores the use of AI-based anomaly detection algorithms to identify and mitigate potential security threats, such as unauthorized access, data breaches, and malicious activities. AI-driven encryption techniques are also explored to strengthen data protection in cloud storage.In addition to accessibility and security, the research paper delves into AI-driven techniques to optimize the performance of cloud storage systems. It investigates the application of machine learning algorithms for intelligent resource allocation and workload balancing, leading to enhanced system performance and reduced latency.Overall, this research paper highlights the significance of intelligent data management in cloud storage and showcases the potential of AI-driven approaches to address the challenges associated with data accessibility, security, and performance. The findings of this study can assist cloud service providers, researchers, and practitioners in developing more efficient and robust data management solutions in the era of big data and cloud computing.