Glossary
V
10 entries beginning with V, the same definitions the articles use.
Value Attribution Crisis Concept
The difficulty of measuring AI value that emerges through compound effects defying simple attribution, causing project-based evaluation to systematically undervalue transformation while overvaluing incrementalism.
First introduced in: AI's Interconnected Challenge: Diagnosing the Six Concerns of the Board
Value chain visualisation
A mapping showing how a specific AI capability flows through operational impact and strategic outcome to financial value, giving boards the cause-and-effect detail behind each Well-Advised pillar.
Related: Rethinking Business Cases in the Age of AI: Building Your AI Business Case
See also:Well-Advised
Value-investment profile
The relationship between the investment an AI initiative requires and the value it returns; different initiatives have different profiles, informing portfolio decisions rather than uniform criteria.
Related: A Complete AI Adoption Framework: AISA, Five Pillars, and Well-Advised
Vector database
A database that stores embeddings and finds items by semantic similarity; a core component of retrieval-augmented AI systems.
Related: Agentic AI: Strip Away the Hype and Understand the Real Strategic Choice
See also:Retrieval
Velocity Mismatch Concept
The gap between AI’s rapid development pace and traditional quarterly board governance cycles, where the capability justifying a business case in January may be obsolete by June.
First introduced in: AI's Interconnected Challenge: Diagnosing the Six Concerns of the Board
Related: From AI Pilots and Projects to AI Strategy: Avoiding the Business Case Trap
See also:Multi-Speed Collision
Verification capability
The subject-matter expertise needed to check AI outputs at the volume generated; developed by doing the work oneself over years, not by using AI tools.
Related: The Accountability Gap: When AI Delegation Meets Human Responsibility
See also:Verification Premiumexpertise pipelineAccountability Gap
vibe coding
Building production applications largely from AI-generated code without corresponding engineering expertise, producing software that works but is accumulated rather than architected, accruing technical debt that surfaces when the system scales.
Related: The Verification Premium: What Classical Training Reveals About AI Coding Costs
See also:Technical debt
Virtual power plant
Aggregated distributed energy resources, household batteries, EV chargers, solar, and large behind-the-meter generation, coordinated as a single dispatchable grid resource.
Related: A New Grid Actor: AI Infrastructure Is Becoming Energy Infrastructure
See also:Behind-the-meter generation
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