### Q1: What is the fundamental difference between artificial intelligence (AI) and machine learning (ML)?  
### Q2: How can machine learning enhance traditional credit scoring models in the finance industry?  
### Q3: What are the implications of differentiating between AI, machine learning, and deep learning for technology professionals in finance?  
### Q4: How can a low-code approach be utilized to implement AI-driven chatbots in customer service automation?  
### Q5: What challenges might arise when using hands-on coding to develop machine learning algorithms for fraud detection?  
### Q6: In what scenarios would a mixed approach be beneficial for integrating AI into trading strategies?  
### Q7: How would you effectively communicate the benefits of AI and machine learning to stakeholders in your finance-related role?  
### Q8: What strategies can be employed to ensure clear communication of technical concepts related to AI in a finance team?  
### Q9: How can enhancing your communication skills improve collaboration on AI projects within a fintech startup like Test_Company?