Data-Driven Systems

A data-driven system is one whose behavior or decisions are shaped mainly by the actual data it is given, whether that means a machine-learning model finding patterns across large amounts of data or a simpler system applying fixed, human-written rules to specific data values, like a threshold alert that triggers once a measurement crosses a set number. Because a data-driven system depends so heavily on its data, its behavior is often only as good as the data it uses: biased, incomplete, or outdated data can lead to biased, incomplete, or outdated outputs even when the underlying method itself works exactly as intended.

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