Model-Based Service
A Model-Based Service (MBS) is a service architecture where the core functionality is driven by, or heavily reliant upon, one or more trained computational models (such as Machine Learning models, predictive algorithms, or knowledge graphs). Instead of executing a fixed, hard-coded business logic flow, the service uses the output of a model to make dynamic decisions, predictions, or generate complex outputs in real-time.
Traditional services operate on deterministic rules (if X, then Y). MBS introduces adaptability. In rapidly changing business environments, static rules quickly become obsolete. MBS allows systems to learn from data, adapt to novel inputs, and provide nuanced, context-aware responses that significantly improve operational intelligence and user experience.
The process generally involves several stages: