AI/ML projects — different requirements approach.
Challenges:
Requirements areas:
Example:
Project: Fraud detection
Data Requirements:
- Historical transactions: 1M records
- Features: 50+ attributes
- Label accuracy: 99%
Model Requirements:
- Precision: > 90%
- Recall: > 80%
- Latency: < 100ms
Ethics Requirements:
- Bias testing
- Explainability
BA role: