first point of call regardless of who ’ s doing the work : a robot , human , system or even an AI .”
Bots are also not the idealised , perfect beings you might imagine , with malfunctions a distinct possibility . Indeed , 87 % of IT decision-makers have experienced bot malfunctions , according to a Pegasystems study . That can be mitigated by continual evaluation of the technology . “ Once implemented , RPA should not be forgotten about – it requires consistent appraisals , to keep up with the ever-changing world of regulation and advancements in technology ,” says Lappin .
The future of the technology will be dictated by its evolution and the addition of new features , with DataRobot ’ s Pellegrino seeing something of an automation saturation . “ It is difficult to find a highly transactional , repetitive task that is not already automated internally ,” he says . “ This is why the demand for AI / ML in conjunction with RPA has spiked recently as new use cases for automation require adding AI / ML to automate the intelligent decision making RPA alone cannot do .”
47 aimagazine . com