### Q1: What is the primary function of an algorithm in the context of AI/ML?  
### Q2: How does understanding different types of algorithms contribute to successful business applications in finance?  
### Q3: Can you explain the significance of selecting the right algorithm for a specific financial application, and what challenges might arise from a poor selection?  
### Q4: How do data sets influence the training and testing phases of AI/ML models?  
### Q5: In what ways can the quality of data sets affect the performance of AI/ML models in the financial sector?  
### Q6: What are the potential consequences of using inadequate data sets when developing AI/ML models for financial applications?  
### Q7: How can effective communication of AI/ML terminology improve collaboration among stakeholders in finance?  
### Q8: Can you provide an example of how miscommunication around AI/ML terminology has led to challenges in a finance project?  
### Q9: What strategies can be implemented to enhance communication regarding complex AI/ML concepts within a finance team?