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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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Knowledge check
5 questions from this module's lessons.
0/5 correct
- 01
According to research cited by Gartner, what percentage of AI models fail to move past the pilot phase into production?
- 02
What are the two 'silent killers' of AI performance that cause a model to lose accuracy over time?
- 03
Why do 70% of digital transformation initiatives fail according to the provided text?
- 04
Within what timeframe do approximately 80% to 90% of machine learning models typically lose significant initial accuracy?
- 05
What is described as the 'immune system' for an AI product to ensure it remains a sustainable asset?
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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 |