Common RPA Myths Debunked – Part 2
The RPA industry can be a place of buzzwords and a whole lot of hype. In Part 2 of this series, we unpack the most common misconceptions we hear about the capabilities and limitations of robots, as well as how APIs are being used in automation today.
Applying RPA in Digital Transformation Initiatives
In today’s digitally-focused age of business, tech buyers are more motivated than ever to invest in software to help them achieve digital transformation. Many companies were prompted to begin or accelerate digital transformation initiatives this year as the impact of COVID-19 amplified the inefficiencies within their business. It became harder to ignore the negative impact of legacy or disconnected business systems that echo throughout an organization in the form of dysfunctional processes, disparate data silos, and lengthy cycle times. Robotic process automation, or RPA, can act as a functional layer across business systems old and new to facilitate cross-platform communication. …
What is Hyperautomation?
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 …