IEEE BYTE Volume-3 Issue-2 | Page 9

    2      these bots require very less monitoring and governance. RPA enriches the overall customer experience. RPA vs AI ​ have been the top buzzwords of this decade. However, not many seem to know what they actually mean and how one varies with another. The basic difference between both of them is that, RPA can ’do’ however AI can ‘ponder & learn’. For an AI, even if a few inputs are specified, it will cognitively work and make its way out. However the same is not possible for RPA. All the inputs must be given to a RPA for its efficient functioning. For example, when it comes to playing chess, AI need not be taught all the rules beforehand. It’ll learn the rules eventually by experience due to its cognitive systems and then could even go on to beat the opponent. However, all the rules and moves must be specified to a RPA bot. AI & RPA are same yet different in their own ways. They are not an alternative to each-other rather they’re a choice depending on the user’s need. However, they can be complementary to each other. If both of them are made to work in cohesion, systems can produce mind-blowing results. For example, AI can be used to assemble data followed by using RPA to process it, and then AI can use its cognitive abilities for the decision making process. Will RPA exhaust jobs? ​ Since the advent of the Industrial Revolution there has always been a wave of thoughts questioning the possibility whether the machines would gobble down the jobs of the working class, neglecting the opportunities that these machines provide. The IT industry exists only because somebody once thought of making a machine. According to a Jan’18 article in The Economic Times Daniel Dines, CEO and Co-Founder of UiPath, a Bengaluru based software company, said tha t nearly two lakh RPA led jobs are expected to be generated in India by 2021. In the end, it's all about one’s perspective. A few will try to adapt to challenges that the RPA beholds and others will try to oppose it. What the future holds for RPA RPA is still in its early stages at present. However, the future that it holds seems to be bright. RPA is still being studied by companies as they seek for cost-effective solutions. The impact of RPA on such organisations is going to increase in the near future. The Total Workforce (RPA + AI + Humans) is where the future lies.