A REVIEW OF MACHINE LEARNING, WEB TECHNOLOGY, AND DIGITAL MARKETING

This review paper explores recent advancements in artificial intelligence (AI), machine learning (ML), and digital transformation across various domains, including customer engagement, financial technology, healthcare, education, and marketing. Key studies highlight the role of AI chatbots in customer loyalty, the integration of ML in cancer detection, and the influence of digital transformation on FinTech adoption in emerging markets. Additionally, research on machine learning operations (MLOps), big data analytics, and Industry 4.0 technologies underscores the growing demand for automated and scalable AI solutions. The paper also examines the ethical and socio-economic implications of AI adoption, focusing on privacy concerns, algorithmic bias, and workforce displacement. In digital marketing, AI-driven strategies such as reinforcement learning and NLP-based content optimization have significantly enhanced consumer engagement and targeting. Furthermore, AI applications in robotics, poultry farming, and computational modeling of science communication demonstrate the technology's diverse impact. While AI and ML offer transformative potential, challenges such as data security, regulatory frameworks, and model interpretability remain critical concerns. This review provides a comprehensive synthesis of AI's evolving landscape, emphasizing the need for ethical AI development and interdisciplinary collaboration to maximize its societal benefits.