Robotic process automation (RPA) companies are endeavoring to deliver “the fully automated enterprise,” but even that promise may be shortsighted. Current trends are indicating that there’s much more that can be done with RPA—especially when combined with data science.
RPA tools started by getting computers to do the repetitive part of what humans do. The “robot” label here is key; it’s a metaphor that indicates that the software is not contained in one system but rather is connected with all (or many) of the information systems that a human worker touches.
