In Practice: AI in the Enterprise | Day 20: Why Centralizing AI Decisions Is a Trap (But Decentralizing Them Is Too) April 22, 2026
In Practice: AI in the Enterprise | Day 19: What Enterprises Discover When Regulators Examine Their AI Systems April 21, 2026
In Practice: AI in the Enterprise | Day 18: Model Risk Looks Different in Enterprises (And You’re Probably Using Consumer-Grade Frameworks) April 20, 2026
In Practice: AI in the Enterprise | Day 17: The Accountability Inversion: Why Blaming the Data Team Is Convenient and Wrong April 17, 2026
In Practice: AI in the Enterprise | Day 16: Governance by Committee vs. Governance by Design: Why Your AIOC Might Be Theater April 16, 2026
In Practice: AI in the Enterprise | Day 15: Strategic Independence in Your AI Stack: What It Actually Requires April 15, 2026
In Practice: AI in the Enterprise | Day 14: The AI Adoption Curve Nobody Talks About: Why Your Best Tools Get Abandoned April 14, 2026
In Practice: AI in the Enterprise | Day 13: Why Your AI Project Budget Blew Up (And How to Prevent It in the Next One) April 13, 2026
In Practice: AI in the Enterprise | Day 12: The Hiring Mistake That Sinks AI Programs: You’re Looking for Unicorns April 10, 2026
In Practice: AI in the Enterprise | Day 11: The Foundation Model Dependency Trap (And Why It Matters More Than You Think) April 9, 2026
CodeDebate by Ben 