### Q1: What is financial forecasting and why is it important for businesses in the B2C sector?  
### Q2: How can machine learning algorithms improve the accuracy of financial forecasts compared to traditional methods?  
### Q3: What are the potential risks associated with relying solely on AI tools for financial forecasting?  
### Q4: In what ways can AI tools enhance decision-making processes during financial forecasting?  
### Q5: How might a cloud-based AI platform change the way a financial services firm approaches budgeting and forecasting?  
### Q6: What factors should be considered when selecting an AI tool for predictive analytics in financial forecasting?  
### Q7: How can effective communication skills facilitate the integration of AI tools in financial forecasting processes?  
### Q8: What strategies can be employed to communicate the benefits of AI-driven forecasting tools to non-technical stakeholders?  
### Q9: How can you effectively present data visualizations generated from AI tools to ensure clarity and understanding among team members?