Objectives to cover:

  1. Introduction to KYC and Financial Fraud
  2. Challenges in Traditional KYC Processes
  3. Understanding Large Language Models (LLMs)
  4. Enhancing KYC Efficiency with LLMs
  5. Real-Time Fraud Detection Through LLMs
  6. AI-Driven Risk Mitigation in KYC Compliance
  7. Privacy and Ethical Considerations in AI-Enhanced KYC
  8. Future Trends: LLMs in Financial Crime Prevention
  9. Conclusion: The Path Forward for LLMs in KYC

Reference:  IEEE style