Cloud Computing & AI Optimization

Authors

  • Chandra Lekkala USA Author

DOI:

https://doi.org/10.47363/JAICC/2026(5)504

Keywords:

Cloud Computing, Artificial Intelligence, AWS, Azure, GCP, Cloud Security, AI Optimization, Data Warehousing, AutoScaling, Predictive Analytics, Machine Learning

Abstract

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.

Author Biography

  • Chandra Lekkala, USA

    Chandra Lekkala, USA.

Downloads

Published

2026-01-31

How to Cite

Cloud Computing & AI Optimization. (2026). Journal of Artificial Intelligence & Cloud Computing, 5(1), 1-9. https://doi.org/10.47363/JAICC/2026(5)504

Similar Articles

1-10 of 528

You may also start an advanced similarity search for this article.