Yugandhara S. ChandanshiveVarsha D. Jadhav (Rathod)
This chapter elucidates the paradigm shift in user experience facilitated by artificial intelligence (AI)-driven personalization. By harnessing machine learning algorithms and predictive analytics, AI-driven personalization enables the delivery of tailored experiences that cater to individual user preferences and behaviours. The integration of natural language processing and deep learning models further enhances the efficacy of personalization, yielding improved user engagement and satisfaction. The chapter provides an in-depth examination of the theoretical underpinnings and practical applications of AI-driven personalization, highlighting its potential to revolutionize various domains, including e-commerce, content streaming, and customer service. The benefits of AI-driven personalization, such as enhanced user experience, increased loyalty, and improved business outcomes, are also discussed. Furthermore, the chapter addresses the complexities and challenges associated with AI-driven personalization, including data privacy concerns, algorithmic bias, and the need for transparency. This chapter is a valuable resource for researchers and practitioners seeking to leverage AI-driven personalization to drive business growth, improve user experience, and gain a competitive edge in an increasingly personalized digital landscape.
Yugandhara S. ChandanshiveVarsha D. Jadhav (Rathod)