Big Data Cloud Computing and AI-Driven Digital Marketing in Enterprise Systems
Journal Title: Engineering and Technology Journal - Year 2025, Vol 10, Issue 04
Abstract
The integration of Big Data, Cloud Computing, and Artificial Intelligence (AI) has significantly transformed digital marketing and modern enterprise systems. These technologies enable advanced data analytics, predictive modeling, and real-time customer engagement, fostering more personalized marketing strategies and improving overall business efficiency. AI-powered tools, including machine learning algorithms, automated Customer Relationship Management (CRM) systems, and sentiment analysis platforms, facilitate the delivery of targeted content and enhance customer satisfaction. Additionally, cloud computing ensures scalability, secure data accessibility, and cost-effective management of vast consumer datasets. The relevance of these technologies in enterprise systems lies in their ability to streamline operations, support data-driven decision-making, and optimize resource allocation. Big Data analytics provide valuable insights into consumer behavior, market trends, and competitive landscapes, enabling the design of highly targeted marketing campaigns. Furthermore, AI-driven automation enhances customer service, fraud detection, and supply chain management, thereby improving operational efficiency and reducing human error. This study identifies key findings, including increased productivity, cost savings, and enhanced customer experiences, which contribute to greater brand loyalty and revenue growth. However, challenges such as data privacy concerns, high implementation costs, and ethical considerations in AI-driven marketing persist as significant barriers. Looking ahead, enterprises are expected to explore emerging technologies such as blockchain for secure data transactions, federated learning for privacy-preserving AI applications, and advanced AI-driven predictive analytics for more refined marketing strategies. The ongoing evolution of these technologies will continue to shape the future of digital marketing, enterprise management, and customer relationship dynamics in an increasingly data-driven environment.
Authors and Affiliations
Yosra Ali Hassan ,Subhi R. M. Zeebaree,
Design of Mobile-Based HR Management Application in Pekanbaru Army Hospital
Pekanbaru Army Hospital as a health institution that has a strategic role in health services for military personnel and the people of Pekanbaru city still faces challenges in carrying out human resource management (HRM)....
Comparison of Two Locally Made Motorized Plantain Slicers
This study focused on comparing two locally designed plantain slicers in other to economically and productively advice small scale chips – producers. The two selected slicing machines were horizontally inclined slicer (H...
Artificial Intelligence and Machine Learning Algorithms for Advanced Threat Detection and Cybersecurity Risk Mitigation Strategies
This paper explores the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) algorithms in advancing threat detection and mitigating cybersecurity risks, while concurrently highlighting thei...
Review on Personalized Activity Notification and Feedback
News Aggregator is a real-time, personalized news and placement update service specifically tailored for students. It will be extremely difficult to keep up with in this age of information with information relevant to em...
DEVELOPMENT OF A LABORATORY-BASED AUTOMATED IRRIGATION PROTOTYPE
Advanced technology plays significance roles in the field of agriculture. Daily activities associated to farming or garden watering is the most essential cultural and the most labour intensive task. Automation is a techn...