Did Your Intelligent Automation Implementation Disappoint?
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 [...]