Unsupervised Learning

A machine learning approach where AI systems discover patterns, structures, or relationships in data without being provided with specific examples or correct answers, enabling autonomous insight discovery from business data. Unlike supervised learning that requires labeled training examples, unsupervised learning can reveal hidden patterns in customer behaviour, operational inefficiencies, or market trends. Businesses can apply unsupervised learning for customer segmentation, anomaly detection, market research, and operational optimisation. Applications include identifying customer groups for targeted marketing, detecting fraudulent transactions, discovering process inefficiencies, and uncovering unexpected correlations in business data.