The Decision Intelligence Glossary
Definitions for every term, technology, and concept in the Rubiscape platform.
Decision Intelligence
A discipline that augments data science with theory from social science, decision theory, and managerial science to improve the quality and speed of enterprise decisions.
MLOps
A set of practices combining machine learning and DevOps to deploy, monitor, and maintain ML models in production reliably and efficiently.
RAG (Retrieval-Augmented Generation)
An AI architecture that combines a language model with an external knowledge retrieval system, enabling grounded, accurate, and governable AI responses.
RBAC (Role-Based Access Control)
A security model where access to resources is determined by a user's role within an organisation, not their individual identity.
CDC (Change Data Capture)
A data integration pattern that tracks and captures changes in a source database in real time, enabling near-instant replication and streaming.
BYOC (Bring Your Own Cloud)
A deployment model where the software vendor's application runs in the customer's own cloud environment, giving the customer full control over data and infrastructure.
Data Lineage
The complete history of a data element, its origin, movements, transformations, and final destination, enabling traceability and audit compliance.
Agentic AI
AI systems that can take autonomous actions, use tools, and make sequences of decisions to accomplish goals, with or without continuous human oversight.
Data Fabric
An integrated architecture that automates data discovery, governance, integration, and consumption across hybrid and multicloud environments.
Feature Store
A centralised repository for storing, managing, and serving ML features, enabling consistency between training and production, and reuse across models.
Decision Latency
The time between when data is available and when a governed decision is made based on it. Rubiscape targets 40% reduction in decision latency.