### Q1: What is machine learning and how does it differ from traditional programming?  
### Q2: Can you explain the three types of machine learning algorithms and provide an example of each?  
### Q3: What are the potential limitations of machine learning in predicting customer behavior?  
### Q4: How can predictive analytics be used to enhance lead scoring in sales?  
### Q5: What are the practical applications of predictive analytics for improving marketing strategies?  
### Q6: How might predictive analytics fail to accurately forecast customer behavior in certain scenarios?  
### Q7: How can natural language processing improve customer service interactions?  
### Q8: In what ways can NLP be integrated into the sales process to enhance customer engagement?  
### Q9: What challenges might arise when implementing NLP solutions in customer communications?