AIB-C01 05/34: Model Drift and Shadow AI | AWS Certified AI Business Strategist

Model Drift and Shadow AI explained for the AWS Certified AI Business Strategist exam: AI systems need ongoing monitoring and updates because data drift and concept drift erode performance as the world changes, and GenAI apps change when models, prompts or documents change; shadow AI (unapproved tools) risks data leakage and compliance breaches, so publish a transparent classification of AI tools as approved, under evaluation or blocked, with a fast review path. Model Drift and Shadow AI is in Domain 1, AI Fundamentals and Literacy, which is 24% of the AIB-C01 exam. This exam-focused lesson is for product managers, business leaders, consultants and analysts who evaluate, champion or scale AI preparing for the certification. What you will learn: • Why AI degrades after launch • Data drift and concept drift • Owning AI after go-live • What shadow AI is • Approved, under evaluation, blocked • Exam traps and self-check questions CHAPTERS 00:00 Model drift and shadow AI for the AIB-C01 exam 00:27 Why AI degrades after launch 00:55 Data drift and concept drift 01:21 Owning AI after go-live 01:48 What shadow AI is 02:17 Approved, under evaluation, blocked 02:44 Exam traps for drift and shadow AI 03:14 Self-check questions AIB-C01 full course: video 05 of 34, in blueprint order (Domain 1 to Domain 4). Next: Prompt Engineering for Business Users. Facts checked against the official AWS AIB-C01 exam guide and AWS documentation on 2026-10-19. Exam format and domain weights are from the official AWS exam guide for AIB-C01 and the certification page (checked October 2026; beta exam). Unofficial study material, not affiliated with or endorsed by Amazon Web Services. Confirm against the current exam guide before you sit the exam. Subscribe to Core Concept Learning for clear, visual explanations of AI and software engineering concepts. #AIBC01 #AWSCertified #AIGovernance