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A causality engine is a technology platform that learns, understands and draws conclusions based on causation, not merely correlation, of data input. While most automated machine learning (autoML) platforms develop an algorithm and test a model with a desired outcome in mind, a causality engine bypasses preconceptions and predetermined algorithms. It first adopts a hypothesis as an outcome, then parses massive amounts of data to determine which factors align most closely with that result.
A causality engine enables business users to: