“AI is the foundational core of these listed technologies/capabilities.” “AI is an extremely important component of intelligent automation because it helps drive data-driven decision-making and via machine learning it can start to extract and categorize emails, customer applications which include structured and unstructured text for example,” she said. RPA and other intelligent automation technologies rely heavily on AI, said Varsha Mehta, senior market research specialist at Gartner. RPA relies on a combination of user interface interaction and descriptor technologies that overlay on one or more applications. RPA mimics transaction steps within a process or workflow including data manipulation, passing data to and from applications, triggering responses and/or executing transactions. RPA is an human emulation technology that allows a user to create scripts (usually referred to as bots) to automate specific keystrokes and actions, Gartner said.
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Gartner expects worldwide RPA software sales to increase at 17.5% year over year through 2023. How to build flows in Microsoft’s Power Automate with AI to speed up app developmentĮxploring the principles of ambient computingĤ automation-focused IT careers on the rise NVIDIA unveils supercomputing and edge products at SC22 “Organizations are leveraging RPA to accelerate business process automation initiatives and digital transformation plans … to improve operational efficiency.” More must-read AI coverage “By achieving a growth rate of 31% in 2021, the RPA market grew well above the average worldwide software market growth rate of 16%,” said Cathy Tornbohm, distinguished vice president and analyst at Gartner, in a press release.
While down significantly over 2021’s numbers, sales of robotic process automation (RPA) software are projected to reach $2.9 billion by the end of 2022, according to Gartner. RPA sales are down significantly YOY but are still strong, indicating the emergence of ‘hyper-automation’. Worldwide RPA sales to reach $2.9 billion in 2022, says Gartner
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