Real-time Processing
Real-time processing refers to the ability of a system to process data as soon as it is generated or received, without any delay. In the context of data science and artificial intelligence, real-time processing is essential for applications that require immediate response to changing conditions or events. This includes applications such as fraud detection, predictive maintenance, and autonomous vehicles. Real-time processing involves the use of specialized hardware and software that can handle large volumes of data with low latency. This often requires the use of distributed systems and parallel processing techniques to ensure that data can be processed quickly and efficiently. Real-time processing is becoming increasingly important as the amount of data generated by sensors, devices, and other sources continues to grow at an exponential rate.
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