This talk explores data privacy challenges in large language models (LLMs). I'll cover LLM basics, AI data privacy fundamentals, and specific privacy issues in LLMs. The discussion will address compliance hurdles, technical solutions for privacy preservation, and their limitations. I'll review industry best practices and examine the balance between innovation, privacy, and business growth. The presentation will conclude with future directions for privacy in AI, providing attendees with insights to navigate these challenges in their AI initiatives.