Transforming Event Management: A Cloud Computing Framework for Scalable and Efficient Solution

Abstract

Increased intricacy in event management has resulted in problems related to scalability, efficiency, and cost containment. This paper proposes a cloud event management framework model that focuses on operational, resource management, and event management processes. The cloud event management architecture is based on cloud computing integrated with telecommunication, Artificial Intelligence (AI), and Machine Learning (ML) for enhanced decision making through predictive analytics and dynamic control. The modular approach facilitates integration with other data processing systems and enhances operational versatility by interfacing with multiple third-party applications. Emphasis is placed on data privacy and compliance with recognized security standards which preserves and protects the information. Comparison analyses with other event management systems show significant progress in scalability, satisfaction of users, and effectiveness of business operations. This study integrates the development of artificial intelligence (AI) and cloud technology to shift the paradigm of event management from conventional to more agile technological based approaches. Also, the model enables the examination of future hybrid and wholly virtual events that may be further improved by complex event processing and optimization methodologies that operate in real time.