Robotic process automation (RPA) and its next evolutionary stage, intelligent process automation, promise to drive improvements in efficiencies and process outcomes. However, how can business leaders evaluate how to integrate intelligent automation into business processes? What is an appropriate division of labor between humans and machines? How should combined human-AI teams be evaluated? For RPA, often the human labor cost and the robotic labor cost are directly compared to make an automation decision. In this position paper, we argue for a broader view that incorporates the potential for multiple levels of autonomy and human involvement, as well as a wider range of metrics beyond productivity when integrating digital workers into a business process
Artificial intelligence - enabling and sustainable digital workers with digital workers is an obvious trend for the 2020s. The industry is increasingly defined by its ability to use advanced computer technology to understand and improve business and customer experiences. I suppose you have heard this before, but the way it is defined today is in the field of computer science, which emphasises intelligent machines that work and react like humans. The point is that things are likely to become even more complex, as the use of artificial intelligence as an artist becomes more widespread, as machines can produce creative work better, and as the boundary between works of art made by humans and computers continues to blur. If machines are given large datasets of content from which to learn styles, they will become better and better at mimicking people.
Mihir Shukla is the CEO of Automation Anywhere, an enterprise software company. They are redefining how work gets done by introducing the idea of a digital workforce platform and digital workers that work alongside human employees. This combination is designed to help the human employee accomplish more than they ever could alone. Automation Anywhere has 300 hundred employees in 10 offices worldwide. Mihir's goal is to become one the world's largest employers without having any employees.
As businesses look to the future, they should turn their eyes toward intelligent automation as a key component of their technology infrastructure to significantly improve the efficiency and effectiveness of business. Confronted with challenges like managing an ever-increasing volume of data without hiring additional human workers, organizations that don't incorporate automation into their long-term strategies may fall behind. A company that has developed a digital workforce has the potential to not only fill the hiring gap and space left by retiring employees and business growth, but to also augment the skills of an existing workforce. Working in the robotic process automation (RPA) industry myself, over the past several years, I've seen plenty of fear around the possibility of artificial intelligence (AI) replacing human workers. I do expect some of that apprehension to continue into 2020.
"The robotic process automation (RPA) momentum started way before AI piqued the interest of enterprises," The Forrester analysts explain. "Until now, firms have been treating these set of technologies distinctly; i.e., RPA for automation, AI for intelligence. But to create breakthrough opportunities, we believe that an RPAplus-AI technology innovation chain will turbocharge your innovation efforts. Firms are already combining AI building block technologies such as ML and text analytics with RPA features to drive greater value for digital workers in four use cases: analytics that solves nagging platform issues; chatbots that boss around RPA bots; internet-of-things (IoT) events that trigger digital workers; and text analytics that lifts RPA's value."