Glossary
AI Maturity Audit: A Checklist for Launching Industrial AI Projects

Machine learning

A set of statistical and computational techniques that enable a system to learn from data without being explicitly programmed. Models learn patterns in the data to make predictions, classifications, or recommendations. Related techniques include linear or logistic regression, random forests, support vector machines (SVMs), and deep neural networks (deep learning).

AI Maturity Audit

A method for assessing an organization’s readiness to adopt and deploy AI projects, which examines strategic, organizational, human, technological, and environmental factors, and may draw on the ISO/IEC 42001:2023 standard (strategy, governance, organization, data, technologies, risk management, regulatory compliance, etc.).

Shadow AI

The use of AI tools and applications...