### Q1: What is a simple definition of an algorithm in the context of AI and ML?  
### Q2: How does understanding models help product owners make decisions about product strategies?  
### Q3: Why is it crucial for product owners to prioritize gathering high-quality datasets for their AI/ML products?  
### Q4: How can a product owner effectively communicate the differences between algorithms and models to their team?  
### Q5: In what way can understanding algorithms facilitate better collaboration between product owners and data scientists?  
### Q6: What are the potential consequences of miscommunication regarding AI/ML terminology in a product management context?  
### Q7: How can familiarity with AI/ML terminology enhance a product owner's decision-making capabilities?  
### Q8: Describe a scenario where using the correct AI/ML terminology could prevent misunderstandings during a product development meeting.  
### Q9: How can product owners build user trust by explaining AI concepts in layman's terms?