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Module 06 · AI Deployment and Operations
Deploying and Monitoring 'SwiftStyle' AI: From Rollout to Retention
You are the AI Product Manager for 'SwiftStyle,' a fashion app. Your team has a new recommendation model (v2.0) that is more accurate than the old one. You need to plan how to launch it without crashing the app, identify when it stops working correctly due to changing trends, and convince your fashion stylists to trust its suggestions.
45 minBeginner 3 outcomes 6 steps · 3 checkpoints
lab progress0/9 · 0%
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Dataset
SwiftStyle_Model_Health.csv
20 weeks of model performance metrics including average user age, prediction accuracy, and stylist override counts.
Row 18 has a null Median_User_Age. Stylist Overrides spike from Week 15 as Accuracy drops.
| Week(integer) | Median_User_Age(integer) | Model_Accuracy_Score(number) | Stylist_Overrides(integer) |
|---|---|---|---|
| 1 | 24 | 0.94 | 2 |
| 2 | 25 | 0.93 | 3 |
| 3 | 24 | 0.94 | 2 |
| 4 | 26 | 0.92 | 4 |
| 5 | 24 | 0.95 | 1 |
| 6 | 25 | 0.93 | 3 |
| 7 | 26 | 0.92 | 4 |
| 8 | 25 | 0.93 | 2 |
| 9 | 24 | 0.94 | 3 |
| 10 | 26 | 0.92 | 4 |
| 11 | 25 | 0.91 | 5 |
| 12 | 26 | 0.9 | 6 |
| 13 | 27 | 0.89 | 7 |
| 14 | 28 | 0.86 | 9 |
| 15 | 38 | 0.78 | 18 |
| 16 | 40 | 0.74 | 22 |
| 17 | 41 | 0.71 | 26 |
| 18 | 0 | 0.68 | 30 |
| 19 | 42 | 0.65 | 34 |
| 20 | 43 | 0.62 | 38 |