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

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.

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Publication Details

Journal
Asian Journal of Research in Computer Science
Published
2025-04-14
DOI
https://doi.org/10.9734/ajrcos/2025/v18i5637
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Cheman Mohammed Abdullah, Subhi R. M. Zeebaree
Asian Journal of Research in Computer Science
Big Data and Business Intelligence
article

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

Cheman Mohammed Abdullah, Subhi R. M. Zeebaree
article en

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.

Asian Journal of Research in Computer ScienceVol. 18(5)
Duhok Polytechnic University (IQ)
Openalex Percentile: Top 89%
Big Data and Business Intelligence
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