Hyperautomation brings together robotic process automation (RPA), machine learning (ML), and AI to drive end-to-end process automation, as well as AI-based decision making. The term “hyperautomation” was coined by Gartner in its October 2019 article, Gartner’s Top 10 Strategic Technology Trends for 2020. However, industry analysts may use different terms for the same concept: Forrester refers to it as “digital process automation,” and IDC (International Data Corporation) uses the all-encompassing term “intelligent process automation.” How is hyperautomation different from RPA? RPA can be used to tackle a wide range of processes, but the software has limitations. RPA robots cannot be programmed …
Understanding RPA Scalability
Many companies building their own RPA programs have already discovered the difficulties of scaling automation. The investment of support required to maintain digital workforces is often under-estimated, a problem which diverts resources that are critical to scaling the program. A recent webinar hosted by IRPA (Institute of Robotic Procession Automation), ChoiceWORX and PwC, “Scaling in the Hyperautomation Era”, polled the expert panel and attendees to highlight some of the primary reasons that RPA initiatives are stalling. Watch the webinar here. 13% cited ‘cost of maintaining robots’. Whether a company is new to RPA or not, the financial impact of the …