### Q1: What is one key feature of TensorFlow that makes it suitable for deep learning tasks?  
### Q2: How does PyTorch's dynamic computation graph feature benefit developers during model prototyping?  
### Q3: In what scenarios might Keras be preferred over TensorFlow for new AI practitioners?  
### Q4: How can no-code platforms like Bubble empower product leaders to prototype ideas quickly?  
### Q5: What are some specific business problems that low-code platforms such as Mendix can help address?  
### Q6: How can using a no-code tool for customer feedback analysis improve a team's efficiency?  
### Q7: What steps would you take to enhance your data management practices for better AI outcomes?  
### Q8: How can Alteryx and Trifacta assist in ensuring higher data quality for AI models?  
### Q9: In what ways can effective data management mitigate risks associated with data privacy?