1. Q1) What is a key difference between traditional software and AI products?
2. Q2) What drives the "Data Flywheel" in AI product development?
3. Q3) What is the purpose of AI problem framing?
4. Q4) What does the "User-First Approach" in AI design emphasize?
5. Q5) What is a Perceptron in the context of AI?
6. Q6) What is the role of gradient descent in AI model training?
7. Q7) What is the “Data Flywheel” in AI product development?
8. Q8) How does the “long-tail” affect AI product development?
9. Q9) What does “Responsible AI” imply in product development?
10. Q10) How can product managers collaborate effectively with AI teams?
