"Encrypted AI in Customer Behavior Analytics"

Abstract

This paper explores the integration of encrypted artificial intelligence (AI) techniques in customer behavior analytics. As businesses increasingly rely on AI-driven insights to understand and predict customer behaviors, concerns about data privacy and security have become paramount. Encrypted AI offers a promising solution by allowing data to remain encrypted throughout the analysis process, thereby preserving privacy while still enabling valuable insights. This paper reviews current methodologies and technologies in encrypted AI, discusses their application in customer behavior analytics, and examines the benefits and challenges associated with their implementation. Ultimately, it proposes a framework for leveraging encrypted AI to enhance the accuracy and reliability of customer behavior predictions while maintaining robust data protection standards.