Citation:

Varun Varma, 2024. "Secure Cloud Computing with Machine Learning and Data Analytics for Business Optimization", ESP Journal of Engineering & Technology Advancements  4(3): 181-188.

Abstract:

In today’s data-driven landscape, the convergence of Secure Cloud Computing, Machine Learning (ML), and Data Analytics is redefining how businesses operate, compete, and innovate. This paper explores how enterprises leverage these technologies to optimize performance, enhance decision-making, and ensure data security. Using real-world case studies from Coca-Cola Bottling Company United, Netflix, and Capital One, it demonstrates the versatility and impact of cloud-based ML and analytics systems across diverse industries — from logistics and customer engagement to fraud detection and financial compliance. The study focuses on how cloud technology makes real-time processing, scalable data storage, and strong security controls possible. It also talks about the strategic importance of machine learning in smart automation and predictive modelling. The paper uses a comparison to show the pros, cons, implementation methods, and results of using secure and smart cloud platforms. This is useful information for businesses that want to go digital while keeping speed and trust standards high.

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Keywords:

Secure Cloud Computing, Machine Learning (ML), Data Analytics, Business Optimization, Predictive Modelling, Cloud Infrastructure.