The Role of Machine Learning in Enhancing Marketing Strategies within Cloud-based Enterprise Systems

Cheman Mohammed Abdullah *

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

Subhi R. M. Zeebaree

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

*Author to whom correspondence should be addressed.


Abstract

Combining cloud computing, digital technologies, and machine learning is changing organizational systems and marketing techniques. This paper explores how this is happening. Switching to cloud-based systems improves operational efficiency and collaboration by increasing scalability, lowering expenses, and enabling real-time data access. More individualized and focused marketing strategies are made possible by machine learning approaches, such as consumer segmentation and predictive analytics, improving decision-making and customer interaction. However, there are still issues with managing computing resources, guaranteeing strong data security, and offering enough staff training for smooth integration. New developments like edge computing and federated learning are emphasized as possible directions for future research. These convergent technologies' digital transformation allows companies to stay flexible and competitive in a changing market.

Keywords: Data security, cloud computing, enterprise systems, machine learning, digital transformation


How to Cite

Abdullah, Cheman Mohammed, and Subhi R. M. Zeebaree. 2025. “The Role of Machine Learning in Enhancing Marketing Strategies Within Cloud-Based Enterprise Systems”. Asian Journal of Research in Computer Science 18 (5):32-54. https://doi.org/10.9734/ajrcos/2025/v18i5637.

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