Cloud-Based Web Applications for Enterprise Systems: A Review of AI and Marketing Innovations

Chreesk Sabah M. Ali *

Department of Information Technology, Akre University for Applied Sciences, Technical College of Informatics, Duhok, Kurdistan Region, Iraq.

Subhi R. M. Zeebaree

Energy Eng. Department, Technical College of Engineering, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq.

*Author to whom correspondence should be addressed.


Abstract

Through the integration of big data analytics, advanced artificial intelligence, and scalable cloud architectures, this paper explores how cloud-based web applications are revolutionizing enterprise systems. It draws attention to how dynamic cloud environments, which improve operational efficiency, facilitate real-time decision-making, and support targeted marketing campaigns, are replacing conventional on-premise systems. The report explains how tailored analytics and automation driven by AI enhance service delivery while also promoting innovation and a competitive advantage. Additionally, it tackles important issues that need to be resolved in order to fully utilize these digital technologies, like cybersecurity, system integration, and governance. All things considered, the article provides a thorough analysis of digital transformation in contemporary businesses, highlighting the strategic collaboration of cloud computing, edge technologies, and artificial intelligence as a driver of long-term expansion and improved corporate performance.

Keywords: Cloud computing, artificial intelligence, analytics of big data, transformation to digital, enterprise systems, making decisions in real time, cybersecurity, computer edges, focused promotion, integration of systems


How to Cite

Ali, Chreesk Sabah M., and Subhi R. M. Zeebaree. 2025. “Cloud-Based Web Applications for Enterprise Systems: A Review of AI and Marketing Innovations”. Asian Journal of Research in Computer Science 18 (4):427-51. https://doi.org/10.9734/ajrcos/2025/v18i4630.

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