Volume 8 Issue 1
Author's Name: Shankar N, Venkatesh K
Abstract—This papers Businesses now operate differently due to disruptive technologies such as the Internet of Things, big data analytics, blockchain, and artificial intelligence. The latest disruptive technology is artificial intelligence (AI), which has the greatest potential to change marketing. International practitioners are trying to identify the best AI solutions for their marketing function. However, a thorough review of the literature can demonstrate the value of artificial intelligence (AI) in marketing and suggest future areas of research.
Author's Name: E. Melen Giruba, S.P. Raayan, M.K. Ramkumar
Abstract—This In today's digital age, businesses generally depend heavily on cloud-based platforms like Salesforce to manage client information and handle their regular activities. So, as the usage of these platforms grows, it also becomes necessary to implement increasingly sophisticated security measures in order to guard against attack from hackers. Such traditional protocols do not present a complete solution when it comes to contending with the many-sided nature of modern attacks. This paper looks at how AI and automation are integrated with Salesforce environments. Even in these circumstances, businesses can enhance their defenses against data breaches, unauthorized access, and insider threats by means of AI-driven anomaly analysis, automated incident response systems and threat detection capabilities. This paper shows case studies and practical implementations of AI and automation in pointing to exceptional vulnerabilities, automating security operations and adhering to regulatory standards. The paper intends to give direction for future Salesforce security, highlighting the importance of AI and automation in safeguarding privacy and protecting customer trust
Author's Name: Malathy Nebia, Jaya Balan, Senthil kumar R
Abstract—This The rapid advancement of connected vehicle technology has created a pressing need for efficient, secure, and scalable communication protocols. This paper explores the implementation of the Message Queuing Telemetry Transport (MQTT) protocol to enhance realtime data communication and security in connected vehicles. We examine the unique challenges posed by vehicular networks, including intermittent connectivity, low-latency requirements, and security concerns. The research demonstrates how MQTT's lightweight publish-subscribe model can significantly improve data transmission efficiency and reduce latency in vehicle-to-vehicle (V2V) and vehicle- to-infrastructure (V2I) communications. Our findings indicate that MQTT offers superior scalability and lower overhead, making it particularly suitable for large-scale connected vehicle networks. Additionally, we address critical security considerations, proposing enhanced authentication, authorization, and encryption methods tailored for vehicular applications of MQTT. Through case studies, we illustrate the practical benefits of MQTT in real-world scenarios such as fleet management. This research contributes to the ongoing development of efficient and secure communication systems for the next generation of connected vehicles
Author's Name: Rajashree, Syed Ibrahim, Varsha
Abstract—This The deployment of 5G networks poses unprecedented challenges and opportunities for telecommunication providers. Geographic Information Systems (GIS) provide critical tools for spatial analysis, enabling the optimization of network coverage and capacity. This paper explores the theoretical foundations and practical applications of GIS in 5G network deployment. We examine case studies to illustrate GIS's role in addressing challenges related to urban densification, terrain variability, and resource allocation. The integration of GIS with radio propagation models, big data, and machine learning enhances decision-making processes, facilitating efficient and cost-effective network design. Key findings emphasize the need for spatial analysis in site selection, coverage prediction, and capacity optimization.
Author's Name: S.Sweetha, E.Santhosh Kumar
Abstract— This QR codes, when incorporated with Apple Pay and Google Pay on the receipts of restaurants, transformed the food ordering business and increased the efficiency of the payment systems. In the Go programming language, restaurants can print dynamic QR codes on receipts through ESC/POS printer commands for scan-and-pay transactions. This integration enhances the company's checkout process and makes transactions more secure via the Virtual Terminal Service (VTS) systems. The outcome was an effective change in customer behavior and a considerable trend toward the usage of mobile payments. This article will discuss how the system's technical work has been done, the security and convenience of the payment system for end users, and how current and future applications, such as loyalty programs, can be served. Thus, implementing this technology is a success, which shows the critical role
Author's Name: R Sankar, A Balaji, KS Kumar,
Abstract—— This literature review explores how the field of human resource management (HRM) has changed in response to machine learning and artificial intelligence (AI)'s ever-changing effect. HR departments are going through a revolutionary period as a result of the fast advancement of AI capabilities. This phase involves changing key HR operations including performance management, applicant screening, training and development, recruiting, and talent retention. The study looks at current academic works that demonstrate the broad influence of AI in three important HRM topics. While AI promises increased accuracy and efficiency in jobs involving humans, ethical issues become an important factor. In addition to highlighting the exciting developments made possible by AI, the research raises ethical issues and argues for a gradual but prudent incorporation of technology into HRM procedures.
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