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    Real-time Data

    Real-time data processing is enabling AI applications that must respond instantly to streaming events and changing conditions.

    • Stream processing for AI is enabling real-time inference, feature computation, and model updates from live data.
    • Event-driven AI architectures are enabling responsive applications that react to business events as they occur.
    • Real-time feature stores are bridging the gap between historical training data and live production inference.

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