### Q1: What is the broad field that encompasses AI, machine learning, and deep learning?  
### Q2: How does machine learning improve its performance as it is exposed to more data?  
### Q3: What are the key differences between narrow AI and general AI?  
### Q4: How can understanding AI technologies influence your decision-making as a product manager in finance?  
### Q5: In what ways can machine learning be applied to detect fraudulent activities in financial transactions?  
### Q6: What factors should you consider when deciding between a traditional ML approach and a deep learning approach for a customer service chatbot?  
### Q7: Why is effective communication important when discussing complex technologies like AI and machine learning with stakeholders?  
### Q8: How can you clearly articulate the benefits of deep learning applications to your team or clients in the finance sector?  
### Q9: What strategies can be employed to ensure that technical jargon is understood by non-technical stakeholders in finance discussions?