COMPEL Glossary / machine-learning-ml
Machine Learning (ML)
Machine Learning is a subset of AI where systems learn patterns from data rather than being explicitly programmed with rules.
What this means in practice
Instead of a developer writing 'if X then Y' logic, an ML model examines thousands or millions of historical examples and discovers its own decision rules -- often far more nuanced than anything a human could write manually. ML is the engine behind most enterprise AI applications including fraud detection, demand forecasting, and recommendation systems. For transformation leaders, every ML project is fundamentally a data project: the quality, relevance, and representativeness of training data directly determine model performance. Organizations that treat ML as purely a technology initiative, without investing in data governance and organizational readiness, consistently fail to capture value.
Related Terms
Other glossary terms mentioned in this entry's definition and context.