### Q1: What is one easy method to ensure the sales data collected is of high quality for AI training?  
### Q2: What is a moderate technique to assess the generalization of an AI model's performance on new data?  
### Q3: What is a challenging strategy to mitigate the risk of overfitting in AI model training?  
### Q4: How can implementing regular data cleansing benefit the sales strategies in a financial services company?  
### Q5: In what ways can diverse data sources improve the relevance of AI models in predicting customer needs?  
### Q6: What business applications could benefit from employing iterative training of AI models based on customer feedback?  
### Q7: How can effective communication help in conveying the importance of data quality to team members during AI training?  
### Q8: What communication strategies can be utilized to ensure all stakeholders understand the relevance of data in AI model training?  
### Q9: How can you communicate the potential pitfalls of AI training to ensure that your team is prepared to avoid them?