Cloud Computing & AI Optimization
DOI:
https://doi.org/10.47363/JAICC/2026(5)504Keywords:
Cloud Computing, Artificial Intelligence, AWS, Azure, GCP, Cloud Security, AI Optimization, Data Warehousing, AutoScaling, Predictive Analytics, Machine LearningAbstract
Cloud computing has revolutionized businesses' operations, providing scalable, cost-effective, and efficient data storage, processing, and management solutions. Integrating artificial intelligence (AI) within cloud environments has further enhanced optimization capabilities, particularly in resource allocation, security, and operational efficiency. This paper explores the leading cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), detailing their core features, advantages, and applications. Additionally, the study delves into cloud data warehousing, emphasizing Snowflake's role in enterprise analytics. AI-driven resource optimization is examined through auto-scaling, load balancing, and predictive analytics. Security considerations are also discussed, including AI-enhanced threat detection and compliance measures. The paper concludes with an outlook on the future of cloud computing, highlighting AI's expanding role in business operations.
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Copyright (c) 2026 Journal of Artificial Intelligence & Cloud Computing

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