Fundamentals
Machine Learning
Systems that learn from data without explicit programming.
Glossary entry
Definition context
Reference notes
Machine Learning
Systems that learn from data without explicit programming.
Fundamentals
Category
3
Examples
3
Use cases
Systems that learn from data without explicit programming.
Machine Learning is a subfield of AI focused on developing algorithms that allow computers to learn and improve from experience. Instead of programming specific rules (‘if X happens, do Y’), we feed the system data and let it find the patterns and rules itself.
How Interlinked uses it
Qualification and routing logic inside Interlinked combines deterministic workflow rules (the customer is on the Qualify & Schedule workflow; they have not answered question 2 yet) with ML-powered language understanding (what the customer just wrote satisfies the intent of question 2). The deterministic rules are what you configure in the Onboarding Wizard and AI Config; the ML layer is what makes them resilient to real, messy messaging.