25 AI terms defined for business leaders. Each entry covers what it means, why it matters, and how it applies to enterprise AI transformation.
All terms
Agentic AIAutonomous AI that plans, acts, and adaptsAI AdoptionIntegrating AI tools into org workflowsAI AgentAI that plans, uses tools, and actsAI BiasSystematic AI errors causing unfair outcomesAI EthicsPrinciples for responsible AI developmentAI GovernancePolicies keeping AI safe and compliantAI MaturityHow advanced an org's AI capability isAI Maturity ModelFramework benchmarking AI capability by stageAI ReadinessWhether an org is prepared to scale AIAI Readiness AssessmentDiagnostic scoring AI preparednessAI ROIFinancial return on AI investmentsAI SafetyKeeping AI aligned and under controlAI StrategyPlan aligning AI with business goalsAI TransformationEmbedding AI into core business processesAI-NativeProducts built with AI at their coreData StrategyManaging data as a strategic assetEU AI ActWorld's first comprehensive AI regulationExplainable AI (XAI)Making AI decisions interpretable to humansFine-TuningAdapting pre-trained models to specific tasksGenerative AIAI that creates text, images, and codeLLMNeural nets trained to generate languageMLOpsRunning ML models in productionRAGGrounding LLM answers in real documentsResponsible AIFair, transparent, accountable AI systemsShadow AIUnsanctioned AI use inside a company