Machine Learning
Machine learning is the discipline of building systems that improve their performance on a task by learning from data, rather than following explicitly programmed rules. It is the foundation of modern AI — from image recognition to language models to anomaly detection.
What is Machine Learning?
Traditional software follows rules written by programmers: if the invoice total exceeds the PO value by more than 5%, flag it. Machine learning takes a different approach: instead of writing the rules, you show the system thousands of examples of flagged and unflagged invoices, and it learns the pattern itself. The rules emerge from data, not from explicit programming.
This matters because many real-world patterns are too complex, too variable, or too numerous to write rules for. You cannot manually code every possible way a supplier might format an invoice. You can train a model on enough examples that it handles formats you have never explicitly defined.
Types of Machine Learning
The field divides into several learning paradigms depending on how training data is structured:
Supervised learning: Labelled examples (input plus correct output). The model learns to map inputs to the right outputs. Classification, extraction, and prediction tasks. The most common type in operational AI.
Unsupervised learning: Unlabelled data. The model finds structure on its own — clustering similar documents, detecting anomalies without pre-defined patterns.
Reinforcement learning: The model learns by trial and error, receiving rewards for correct actions. Used in robotics, game-playing, and AI alignment.
Machine Learning in Operations
In manufacturing, logistics, and wholesale operations, machine learning is the engine behind most useful AI applications: demand forecasting, anomaly detection in production data, document classification, supplier risk scoring. The difference between a machine learning project that delivers and one that does not usually comes down to data quality — not model architecture. A clean, labelled dataset of your actual operational documents is worth more than any model upgrade. Start there.