ENTERPRISE SYSTEMS IN THE DIGITAL AGE: A REVIEW OF CLOUD COMPUTING, WEB TECHNOLOGY, AND AI-DRIVEN MARKETING

This examines recent advancements in artificial intelligence (AI), machine learning (ML), and digital transformation across various domains, including software testing, cybersecurity, healthcare, supply chain management, and enterprise resource planning (ERP) systems. The study explores AI-driven methodologies in test case generation, facial expression recognition, and digital human resource management, emphasizing their role in automation, optimization, and efficiency improvement. Additionally, it highlights the integration of AI and ML in cybersecurity for threat detection, enterprise data integrity, and predictive analytics, enhancing decision making and risk assessment. The review also investigates the impact of IoT and distributed computing on smart city applications, cloud computing, and digital infrastructure. Findings indicate that AI-powered technologies significantly improve operational performance, scalability, and automation while addressing challenges such as data security, ethical concerns, and system adaptability. Despite the potential of AI-driven solutions, businesses and industries must balance digital innovation with strategic planning to mitigate risks and maximize benefits. This study concludes that ongoing research and innovation in AI, big data analytics, and IoT are essential for driving digital transformation and ensuring sustainable development across various sectors.