### Q1: What is the basic definition of Generative AI, and how does it differ from traditional AI?  
### Q2: Can you explain the significance of Generative Adversarial Networks (GANs) in the evolution of Generative AI?  
### Q3: Discuss the challenges that may arise when implementing Generative AI in financial modeling at a technical level.  
### Q4: How can Generative AI be utilized to create synthetic datasets for training AI models in the finance sector?  
### Q5: In what ways can product managers leverage Generative AI to improve decision-making in financial product development?  
### Q6: Describe a business scenario where Generative AI could create tailored financial products for diverse customer segments.  
### Q7: How would you communicate the unique characteristics of Generative AI to stakeholders unfamiliar with AI technology?  
### Q8: What strategies can be adopted to ensure effective collaboration between technical teams and business stakeholders when discussing Generative AI applications?  
### Q9: How can you articulate the benefits of Generative AI to clients in a way that resonates with their needs and concerns in the finance industry?