### Q1: What are some examples of AI-driven features that can be integrated into BI tools using a low-code approach?  
### Q2: How can businesses utilize automation and predictive analytics in BI to improve insights, and what are some moderate challenges they might encounter?  
### Q3: What are the potential difficulties businesses may face in adopting AI within BI, and what strategies can be implemented to overcome these challenges?  
### Q4: In what ways can hands-on coding enhance the integration of AI in BI tools for better functionality?  
### Q5: Can you describe a specific business scenario where AI-driven automation led to significant improvements in decision-making?  
### Q6: What communication strategies can be employed to effectively convey the benefits of AI in BI to stakeholders within a business?  
### Q7: How does the mixed approach of coding and low-code development facilitate the integration of AI features in BI tools?  
### Q8: What are some advanced case studies that demonstrate the successful application of AI in BI for improving business insights?  
### Q9: How can effective communication skills contribute to a smoother transition for teams adopting AI technologies in BI?