### Q1: What is the basic definition of AI Engineering, and why is it significant in modern technology?  
### Q2: How does machine learning differ from traditional programming methods, and what is an example of its application?  
### Q3: What are the key phases of the AI lifecycle, and which phase do you think is the most challenging?  

### Q4: In what ways can AI Engineering principles enhance customer engagement in a B2C context?  
### Q5: What are some potential obstacles in the data collection phase of AI Engineering, and how can they be mitigated?  
### Q6: How does the deployment phase of an AI model impact its effectiveness in real-world applications?  

### Q7: How can effective communication facilitate collaboration among teams working on AI projects?  
### Q8: What strategies can be employed to explain complex AI concepts to non-technical stakeholders?  
### Q9: Why is it important to use clear terminology when discussing AI and its applications in business settings?