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Module 3 — Digital Intelligence and Governance
Covers data and AI governance topics relevant to apparel operations.
What you will be able to do
Turn data into decisions and keep it safe: dashboards tied to actions, AI applications judged honestly, and governance over access, backup and shared data.
The practical work
Take one management dashboard and, for every figure on it, write the decision it should trigger and who makes it. Delete anything with no decision. Then take one AI proposal — defect detection, demand forecasting, costing support — and write what data it needs, how you would test it, and what happens when it is wrong.
Prerequisite: Read module 2 and pass its quiz first.
Reading for this module
Read these 3 Garment Ed subjects in order, then take the quiz below.
Practical worksheet
Take one management dashboard and, for every figure on it, write the decision it should trigger and who makes it. Delete anything with no decision. Then take one AI proposal — defect detection, demand forecasting, costing support — and write what data it needs, how you would test it, and what happens when it is wrong.
- Identify requirements and assumptions.
- Record evidence and calculations.
- Choose a decision and containment action.
- Assign an owner and verification check.
Module quiz
5 questions on Module 3 — Digital Intelligence and Governance. Answer them all, then check your score before moving on. 4 correct or more is a pass. Your best score is saved on this device, and to your account when you are signed in. This is a self-check, not an accredited assessment.
1. What is the test of a good operational dashboard?
2. An AI defect-detection model performs well in trial and poorly in production. What is the most common reason?
3. Before an AI forecast is trusted for purchasing, what must be established?
4. Which is the most basic access control failure in a factory system?
5. A buyer's technical data is stored on the factory server. What governs its handling?
Structured certification
Opening your learning…