Leaders are expected to deliver smarter personalization, tighter risk controls, and faster decisions. But most decisioning systems still run on batch pipelines.

That means stale data, slow model updates, and analytics that never quite make it into production. Teams end up trading off speed, accuracy, and control.

Redis and Stacker Group changed that. By combining Redis’ millisecond execution with continuous data integration and decision context (recent events, user/session state, real-time constraints), Stacker Group’s Real-Time Decisioning Stack creates a closed-loop system that senses, decides, acts, and learns—so AI decisions happen inside live apps, not dashboards.

• Why real-time decisions require real-time data and execution
• Why batch-based AI can’t meet modern customer expectations
• How Redis turns AI insights into live, in-app actions
• How continuous decision learning improves outcomes over time