Glossary
Real-Time Analytics
Instant processing and decision-making, not batch reports. Sentient acts in milliseconds, not days.
Definition
Real-Time Analytics describes the capability to process data and produce decisions instantly-in milliseconds-rather than through batch jobs or overnight reports. Sentient OS is built for real-time: the architecture processes signals as they arrive, from Sensor through Translator, Logic Engine, DNA, and Pattern Recognition. No batch delays. No 'report tomorrow.' The platform answers 'What do we do next?' in the moment. Real-time analytics enable autonomous decision engines: budget allocation, creator matching, inventory optimization-all in the flow of operations. Conventional BI is retrospective; Sentient is prospective. The gap between data and action is eliminated.
Why It Matters
Real-time analytics are core to Sentient's value proposition. Decisions when they matter-not when the report runs.
Related Pages
Related Terms
Decision Layer
An intelligent system that sits above existing stack and activates it. Not another dashboard-a system that decides.
Prescriptive Analytics
Not just predicting what will happen but determining what to do. Sentient's core capability.
Signal Capture
Total holistic information capture at the protocol level. Multimodal: text, video, audio, visual semantics.
Predictive Analytics
Forecasting future outcomes using historical patterns. Sentient goes beyond to prescriptive/deterministic.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.