Revolutionary Research On The AI Sentry: An Approach To Overcome Social Engineering Attacks Using Machine Intelligence

Abstract

Customer engagement has become a critical factor for the success of modern businesses, transforming how companies interact with consumers across various channels. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies that enable organizations to understand, predict, and influence customer behavior more effectively. This paper explores the techniques and applications of AI and ML in enhancing customer engagement through personalized marketing, chatbots, recommendation systems, sentiment analysis, and predictive analytics. By analyzing various case studies from diverse industries, this study highlights how businesses leverage AI and ML to improve customer satisfaction, increase retention, and drive growth. The paper also discusses the challenges and ethical considerations of implementing AI-driven customer engagement strategies, including data privacy concerns, algorithmic bias, and the need for transparency. The research concludes by identifying emerging trends and opportunities for future research in leveraging AI and ML for customer engagement.