### Q1: What is the core definition of Generative AI in the context of financial services?  
### Q2: Can you explain the difference between Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)?  
### Q3: What are some of the challenges associated with bias in AI models, and how can they impact financial services?  
### Q4: How can your organization leverage Generative AI to provide personalized responses in customer service?  
### Q5: What specific use cases of Generative AI could enhance operational efficiency in your financial services organization?  
### Q6: What strategies can be implemented to address transparency in AI decision-making processes?  
### Q7: How can a low-code approach simplify the implementation of Generative AI in your organization?  
### Q8: What are the potential risks of using hands-on coding for developing AI models in financial services?  
### Q9: How can effective communication of AI concepts improve collaboration among teams working on Generative AI projects?