A SWOT Analysis of the Role of Artificial Intelligence in Project Management
Claudiu BRANDAS, Otniel DIDRAGA, Andrei ALBU 5
Projects are critical to the success of organizations, and therefore improving project management (PM) is imperative. Artificial intelligence (AI) has revolutionized PM, especially in certain key sectors of the economy. This scientific paper explores the role of AI in PM, focusing on the health, energy, and education sectors. Also, the paper presents an analysis of literature and specialized practice to determine strengths, weaknesses, opportunities, and threats regarding AI in PM through the SWOT analysis method. We highlighted the recent advances in AI and the challenges and opportunities presented by using this technology in PM. The study looks at AI's current and future applications in the mentioned sectors. It provides examples of observed benefits, including reduced project duration, cost savings, and increased project success rates. It also emphasizes the impact of AI in the lifecycle of project managers and discusses job replacement concerns. Our findings highlight the potential of AI to bring significant improvements in PM but emphasize the importance of human communication and collaboration in specific fields, such as the healthcare industry. Given the transition to renewable energy sources, it also highlights the need for an adaptable and data-driven approach to energy sector PM.
Keywords: Artificial Intelligence, Project Management, SWOT Analysis

Website Performance Measurements and Related Analysis
Alexandru COCIORVA 16
Current digitally growing context embodies concepts which are new to the information society and rapidly gaining lots of attention not only in specific e-commerce or e-business areas but also in different other segments which were not accommodated with digital demands. Terms like big data, fast and secure transactions, cloud and IoT are just a few items in the exponentially growing world of digital demands. Hence, a basic requirement related to prerequisites of the digital world is to have an e-business solution that can be easily monitored, which can be enhanced with the help of useful and relevant performance metrics. This situation imposes an adaptable structure which comes because of a comprehensive monitoring activity. In this context, through this paper, we are taking into consideration an in-depth analysis of a website structure, through which different e-business solutions can be evaluated.
Keywords: Monitoring, E-business, Cloud, E-commerce, IoT, Performance, Metrics

Cloud Incident Response - a Comprehensive Analysis
Livia Maria BRUMA 32
Data has become the most important asset for organizations because it directly influences development, performance and risk, helping to improve service, analyze customer satisfaction, maximize profit and operate effectively. In the current context of increasing cloud services utilizations and the rising number of cyber-attacks, incident response can be a significant challenge for organizations using the cloud, because the risk of being subjected to an attack is inevitable. This article provides an overview of the methods, tools, and processes that can be used to ensure effective cloud incident response. Furthermore, are presented the most specific cloud elements that introduce differences in the incident response process applied in on-premise technologies.
Keywords: Incident response in the cloud, Cloud security, Cloud computing incident

Internet of Things and Circular Economy: A State-of-the-Art Review
Sorin-Daniel GHEORGHE 44
This paper presents a comprehensive, state-of-the-art review of the confluence between the Internet of Things (IoT) and the Circular Economy (CE), two interdisciplinary areas with immense potential for promoting sustainable development. The review first delves into the fundamental technologies and methodologies driving IoT, followed by a discussion on the technological underpinnings enabling the CE. It subsequently analyses the intersection of IoT and CE, supported by relevant examples. The challenges of integrating these two domains and potential solutions are also addressed. The review concludes with prospective technical research directions and potential areas for future exploration.
Keywords: Internet of Things, Circular Economy, Sustainability, Industry 4.0, State of the Art

The Chatbots and Their Role in the Progress of Society
Ionuț-Alexandru CÎMPEANU 61
In this article, we made a short introduction to chatbots that shows the need for development and their implementation in all economic branches. We covered what a chatbot is and how it works, we made a brief history of its evolution, listed and described the benefits of using the chatbots, but also presented their limitations. Additionally, the article describes five chatbot models developed and implemented in different fields of activity and presents comparisons of the functionalities and applicability of these solutions. In conclusion, we emphasize the interest and concern of business people to expand the use of chatbots in all fields of activity, emphasizing its major contribution to economic progress and the development of society as a whole.
Keywords: Chatbots, Development, Implementation, Ethics, Assessment, Business

Optimizing Performance of Distributed Web Systems
Marian ILEANA 78
Distributed systems have been a hot topic of study in recent years. In general, a distributed system is defined as a computer system implemented within a computer network in which both software and hardware components located on computers within the network communicate and coordinate their actions via messages. Optimizing the performance of distributed web systems has become a top priority in the current context of technological evolution and the continuous growth in the number of users and online traffic. These systems are fundamental to delivering services and content to users worldwide, but the ever-increasing demands for availability and scalability have brought new challenges. Finite state machines are a powerful and flexible technique for modelling distributed systems using the Python language. Finite state machines are popular for modelling distributed systems due to the fact that they represent an easy and flexible way to represent these systems, and together with the Python language, they manage to model complex systems. The two are used to illustrate complex system behaviour, communication between system nodes, node synchronization, error handling, and performance optimization. In this study, various strategies and techniques for optimizing their performance have been analysed.
Keywords: Distributed Systems, Performance Optimization, Web Architecture, Scalability, Load Balancing, Finite State Machine, Python

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