### Q1: What is generative AI and how does it differ from traditional AI?  
### Q2: What are the key components of Generative Adversarial Networks (GANs) and their roles?  
### Q3: How can evaluation metrics like Inception Score (IS) and Fréchet Inception Distance (FID) be utilized to assess the quality of AI-generated content?  
### Q4: How can generative AI potentially change your approach to customer engagement and marketing strategies?  
### Q5: In what ways can product owners leverage generative AI for content generation in their businesses?  
### Q6: What are some potential pitfalls that product owners might face when integrating generative AI into their strategies, and how can they be mitigated?  
### Q7: How can you effectively communicate the benefits of generative AI to stakeholders who may be skeptical about its implementation?  
### Q8: What strategies can be employed to ensure transparency when using generative AI in product development?  
### Q9: How would you address concerns about potential biases in AI-generated content when discussing this technology with your team?