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Module 03 · AI Strategy and Opportunity Discovery
Mapping the AI Opportunity for SwiftLogistics
You are the new AI Product Manager at SwiftLogistics. The CEO wants to use AI to 'fix shipping delays.' You must determine if this is a prediction problem, check if our current data is 'AI Ready,' and present a simple ROI case to the board to avoid the 'Sledgehammer Trap.'
45 minBeginner 3 outcomes 7 steps · 3 checkpoints
lab progress0/10 · 0%
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Knowledge check
5 questions from this module's lessons.
0/5 correct
- 01
According to the 'Problem Framing for ML' context, what is a primary reason that 85% of AI projects fail to deliver on their promise?
- 02
What is the primary objective of an 'AI Readiness Assessment' as described in the provided text?
- 03
How does the lesson on 'ROI and Business Value Metrics' suggest moving beyond 'AI hype'?
- 04
In the context of 'Competitive Moats in AI,' which factor is highlighted as a way to build a defensible product?
- 05
What metaphor does the text use to describe the transition a leader must make during Problem Framing?
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Dataset
shipping_logs_v1.csv
20 recent shipping records including order IDs, weather conditions, reported delays, and the 'Ground Truth' delay reason.
Order 106 is missing 'driver_years_exp'. Order 109 is missing the 'Ground Truth' delay reason.
| order_id(integer) | weather_condition(string) | driver_years_exp(integer) | is_delayed(string) | delay_reason(string) |
|---|---|---|---|---|
| 101 | Clear | 5 | False | N/A |
| 102 | Stormy | 2 | True | Weather |
| 103 | Clear | 1 | True | Traffic |
| 104 | Stormy | 12 | False | N/A |
| 105 | Foggy | 4 | True | Weather |
| 106 | Clear | 0 | False | N/A |
| 107 | Rainy | 6 | True | Weather |
| 108 | Clear | 8 | False | N/A |
| 109 | Stormy | 3 | True | |
| 110 | Clear | 10 | False | N/A |
| 111 | Foggy | 2 | True | Weather |
| 112 | Rainy | 5 | True | Traffic |
| 113 | Clear | 9 | False | N/A |
| 114 | Stormy | 1 | True | Weather |
| 115 | Clear | 7 | False | N/A |
| 116 | Rainy | 4 | True | Traffic |
| 117 | Clear | 6 | False | N/A |
| 118 | Foggy | 3 | True | Weather |
| 119 | Clear | 11 | False | N/A |
| 120 | Stormy | 5 | True | Weather |