### Q1: What is the primary difference between Artificial Intelligence (AI) and Machine Learning (ML)?  
### Q2: How does the application of ML in risk assessment improve decision-making in financial institutions?  
### Q3: What are some potential challenges when implementing AI and ML solutions in a business context?  
### Q4: How can a low-code approach be beneficial for businesses wanting to implement AI solutions quickly?  
### Q5: In what ways can businesses apply a mixed approach to integrate ML algorithms into their existing systems?  
### Q6: What are some technical hurdles that might arise when using hands-on coding for AI applications in finance?  
### Q7: How can effective communication skills enhance collaboration between technical teams and business stakeholders during AI/ML projects?  
### Q8: What strategies can be adopted to clearly communicate the benefits of ML applications to non-technical team members?  
### Q9: How can leaders improve their communication skills to better articulate AI and ML concepts to clients in the finance sector?