### Q1: What are some traditional methods of fraud detection in finance?  
### Q2: How can AI and ML improve the accuracy of risk assessment in financial institutions?  
### Q3: What are the challenges associated with integrating AI into existing fraud detection systems?  
### Q4: How can personalized banking enhance customer satisfaction and loyalty in financial services?  
### Q5: In what ways can AI-driven recommendation engines benefit financial institutions?  
### Q6: What are the potential risks of relying solely on AI for risk assessment?  
### Q7: How can effective communication contribute to the successful implementation of AI in finance?  
### Q8: What techniques can be used to communicate the benefits of AI and ML to stakeholders in a financial institution?  
### Q9: Why is it important to have clear communication strategies when discussing AI technologies with customers?