Skip to content
Research Article Open access CC BY 4.0

Smarter Marketing with AI: How Cloud Technology is Changing Business

Warveen merza eido, Subhi R. M. Zeebaree

Asian Journal of Research in Computer Science · pp. 331–359 · Published 31 Mar 2025

10.9734/ajrcos/2025/v18i4623

Abstract

The integration of Artificial Intelligence (AI) and cloud computing has revolutionized enterprise systems, particularly in predictive marketing. AI-powered enterprise solutions enable businesses to analyze vast amounts of data in real-time, enhancing decision-making, customer engagement, and operational efficiency. Predictive analytics allows companies to anticipate consumer behavior, refine marketing strategies, and optimize customer interactions. Cloud computing further supports AI-driven predictive marketing by providing scalable and cost-effective solutions that enhance data processing capabilities and business intelligence. AI-integrated enterprise resource planning (ERP) and customer relationship management (CRM) systems facilitate automated decision-making, improving supply chain management and personalized marketing campaigns. Despite its advantages, AI adoption in enterprise systems and predictive marketing presents challenges such as data privacy concerns, cybersecurity risks, and ethical considerations. The complexity of AI integration requires substantial investment in infrastructure and regulatory compliance to mitigate biases and ensure transparency in AI-driven decisions. Explainable AI (XAI) is increasingly necessary to build trust and accountability in enterprise applications. Future advancements in AI, including blockchain, augmented reality (AR), and quantum computing, will enhance predictive analytics and business intelligence, further transforming marketing automation and decision-making processes. The convergence of AI and blockchain is particularly promising in securing digital transactions and improving data transparency in enterprise operations. As AI continues to reshape enterprise systems and predictive marketing, businesses must adopt responsible AI practices, strengthen cybersecurity measures, and comply with global regulations to maximize its benefits. Companies that leverage AI-driven insights will gain a competitive edge by improving customer engagement, optimizing marketing strategies, and driving sustainable growth in the evolving digital economy.

Enterprise systems predictive marketing cloud computing Artificial Intelligence (AI) business intelligence machine learning Customer Relationship Management (CRM)

Cited by 3

USING GENERATIVE ARTIFICIAL INTELLIGENCE (GEN AI) FOR TIKTOK CONTENT MARKETING AMONG ONLINE SELLERS: A TECHNOLOGY ACCEPTANCE MODEL PERSPECTIVE

Nadhrathul Ain Ibrahim, N. A. Mohamed Yunus, Khamisah Abd Manaf · Advanced International Journal of Business Entrepreneurship and SMEs · 2026

Personalised Customer Experiences Through AI-Driven Cloud Marketing Platforms

S. Jayadeva, V. P., Muralidhar L. B. · 2026 6th International Conference on Recent Trends in Computer Science and Technology (ICRTCST) · 2026

Cloud-Based CRM Systems Enhanced by AI and Graph Theory: A Hybrid Model for Optimizing Customer Engagement

K. Ahmed, Md Anisur Rahman Chowdhury, Kefei Wang · International Symposium Advanced Electrical and Communication Technologies · 2025

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

3

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.