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Has your intelligent automaton (IA) project produced the same flawed results as before, only faster? That is likely because the project automated a damaged process or uses bad data. Damaged processes include one or more tasks that are executed inconsistently or inefficiently. Bad data comes from inconsistent data capture processes, duplication across multiple platforms, and many other data management issues. The severity of these problems increases when processes are distributed across multiple locations. Solving these [...]