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Business Understanding
Understanding which business problems can be solved with AI
Phase Steps
1. Determine Business objectives
2. Assess Situation
3. Cognitive Project Requirements
4. Product Project Plan
Cognitive Project Requirements (AI No/Go)
Business feasibility
Data feasibility
Technology/execution feasibility
Don't use AI For Deterministic Problems
Deterministic
Follows clear rules and processes. Can be programmed by defining rules. Traditional automation
Do NOT use Artificial Intelligence If:
If situation lacks ambiguity (i.e., it can be solved with deterministic rules)•
A false positive or false negative is unacceptable
Ethical Considerations
-Fairness
-Transparency
-Accountability
-Privacy
-Responsibility
Fairness
Treat individuals and groups equitably, without bias
Transparency
AI decisions should be explainable
Accountability
Human oversight & governance. Humans are responsible for AI's outcomes
Privacy
Protect personal data and respect consent
Responsibility
AI does provides benefits without causing harm to individuals or society
Proof of Concept
Feasibility test in theoretical or highly controlled/lab setting
- Never use for AI ROI
Pilot
Small scale, controlled implementation using real-world system & data in real-world environment