### Q1: What is the primary objective of traditional AI in comparison to generative AI?  
### Q2: How does generative AI create new data samples that mimic the training data?  
### Q3: What are the computational resource requirements for effectively training a generative AI model?  
### Q4: How can understanding the differences between generative AI and traditional AI enhance customer service delivery in a financial services context?  
### Q5: In what ways can traditional AI excel in specific tasks like classification within the financial services industry?  
### Q6: What are some innovative applications of generative AI in the financial services sector that could improve customer engagement?  
### Q7: How can the principles of generative AI be leveraged to create personalized customer interactions?  
### Q8: What challenges might arise from using generative AI in customer service when ensuring compliance with regulations like SOX?  
### Q9: How can effective communication of generative AI concepts improve collaboration among teams in a financial services company?