👉 Deviation computing refers to the practice of processing data that deviates from standard or expected formats, patterns, or norms. This can include anomalies, outliers, or data points that do not conform to typical distributions or behaviors. In traditional computing, algorithms are designed to handle expected data types and structures efficiently, but deviation computing requires specialized techniques to accurately analyze, interpret, and manage such irregular data. This approach is crucial in fields like fraud detection, cybersecurity, and advanced analytics, where identifying deviations can provide valuable insights or indicate critical issues that need immediate attention. By accounting for these deviations, deviation computing enhances the robustness and reliability of data-driven decision-making processes.
