The integration of artificial intelligence (AI) into educational frameworks is revolutionizing curriculum development by fostering adaptive and learner-centric approaches. AI-powered systems enable personalized learning experiences, dynamically adjusting content to match individual student...

The behavioural analysis of AI attacks is of extreme significance in contemporary-day cybersecurity as it pertains to how AI has the potential to enhance or disrupt security measures. AI attacks use leading-edge machine learning, deep learning, and natural language processes to carry out...

The rise of Industry 4.0 has transformed traditional industrial environments through the integration of smart technologies, IoT devices, and interconnected systems. While these innovations improve efficiency and productivity, they also expose critical infrastructure to sophisticated cyber...

AI is transubstantiating cybersecurity in critical sectors like finance and HR, which handle largely sensitive data and are frequent targets of cyberattacks. This paper investigates how AI- driven tools ameliorate both trouble discovery and post-attack recovery processes in these sectors. The...

The convergence of artificial intelligence (AI) and industrial automation is reshaping the cybersecurity landscape. As smart factories, intelligent control systems, and interconnected infrastructures become widespread, AI offers powerful tools for detecting, preventing, and responding to cyber...

This study explores the integration of AI-driven decision intelligence in economic systems, emphasizing its role in enhancing strategic planning, risk assessment, and economic forecasting. AI improves human decision-making by leveraging machine learning, predictive analytics, and real-time data...

Supervised Learning (Random Forests) using the Tensor Flow tool is used to spend this research exploring on the effect of AI driven decision making on the transformation of management practices. The three business tasks that this study addresses are customers churn prediction, sales forecasting,...

This chapter examines how artificial intelligence (AI) is transforming fleet management by improving efficiency, safety, compliance, and sustainability. It explores key applications of AI, including real-time route optimization, predictive maintenance, driver behavior monitoring, and emissions...

This chapter focuses on decision support systems (DSS) based on artificial intelligence to improve work related well-being. Concerning well-being, organizations have begun to appreciate the need to care for employees' mental and physical health, and AI technologies provide the way of approaching...

Overall, successful sustainability companies exist across all industries. Two of the most fundamental components of an inventory management system are deeply interconnected and are essential for balancing customer demand with product availability, minimising costs, improving customer...