👉 Caught computing refers to the practice of capturing and analyzing real-time data generated by various sources, such as sensors, devices, and systems, to gain insights, detect anomalies, or optimize performance. This approach involves deploying specialized tools and algorithms to monitor, process, and interpret the vast amounts of data produced continuously in operational environments. By leveraging machine learning and advanced analytics, caught computing enables proactive decision-making, predictive maintenance, and enhanced efficiency across industries like manufacturing, healthcare, and smart cities. Unlike traditional batch processing, it offers immediate visibility into system behavior, allowing organizations to address issues as they arise and adapt dynamically to changing conditions.
