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Personalisation is the use of AI to tailor content, products, or experiences to individual users based on their behaviour, preferences, and characteristics. It analyses user data in real time to deliver relevant recommendations and customised interfaces.
Personalisation drives engagement and revenue — companies that excel at it see significantly higher conversion rates, customer satisfaction, and retention.
Netflix personalises not just which shows it recommends, but even which thumbnail image it displays for each title, based on what is most likely to appeal to you.
Recommendation System
A recommendation system is an AI application that suggests relevant items to users based on their past behaviour, preferences, and similarities to other users. It uses techniques like collaborative filtering and content-based filtering to predict what a user will find valuable.
Machine Learning (ML)
Machine learning is a subset of AI where systems learn from data and improve their performance over time without being explicitly programmed for every scenario. Instead of following hard-coded rules, ML models identify patterns in data and use them to make predictions or decisions.
Predictive Analytics
Predictive analytics uses historical data, statistical algorithms, and machine learning to forecast future outcomes and trends. It transforms raw data into actionable predictions that help organisations make proactive decisions.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.