Abstract
Artificial Intelligence (AI) and Cloud Computing are two transformative technologies that reshape the digital landscape of modern organizations. Cloud computing provides scalable computing resources, storage capabilities, and on-demand services, while AI offers intelligent decision-making, automation, predictive analytics, and machine learning capabilities. The integration of AI into cloud environments has significantly improved operational efficiency, resource optimization, cybersecurity, service delivery, and business intelligence.
This study explores the role of Artificial Intelligence in enhancing cloud computing infrastructures and services. The research investigates the benefits of AI-enabled cloud systems, including automated resource management, predictive maintenance, intelligent workload balancing, cost optimization, and enhanced customer experiences. Furthermore, the study examines the challenges associated with integrating AI into cloud environments, such as data privacy concerns, computational complexity, interoperability issues, algorithmic bias, and regulatory compliance.
Security remains a critical concern in cloud ecosystems. Therefore, this paper analyzes major security issues including data breaches, insider threats, adversarial AI attacks, identity management vulnerabilities, and compliance risks. The study also evaluates AI-driven security mechanisms such as anomaly detection, threat intelligence, behavioral analytics, and automated incident response systems.
Through an extensive literature review and qualitative analysis of existing research, the paper demonstrates that AI significantly enhances cloud computing capabilities while introducing new security and ethical challenges. The findings suggest that organizations adopting AI-powered cloud solutions must implement robust governance frameworks, cybersecurity measures, and regulatory compliance strategies to maximize benefits and minimize risks.
Keywords: Artificial Intelligence, Cloud Computing, Machine Learning, Cybersecurity, Resource Optimization, Cloud Security, Big Data Analytics, Intelligent Automation, Predictive Analytics, AI-driven Cloud Services.
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