Robotic Process Automation (RPA) highlights the ongoing efforts of organizations to make businesses more customer-centric with the help of digital advancements. Automation is garnering more interests due to its multi-faceted lure—cost savings, enhanced efficiency, and competitive edge. In this article at CMSWire.com, Russ Gould, VP of Global Product Marketing at Kofax, talks about how RPA is taking the industry by storm.
RPA Sets the Pace for AI
RPA is creating the initial setup for emerging technologies that can do more than just automation of routine tasks. Gartner suggests that CIOs should make use of this market trend and invest in digital initiatives. It predicts that AI is one of the top areas where over 30 percent of CIOs would invest by 2020. In the meantime, you should understand the concepts of each emerging technology to derive business benefits. Pilot programs would help you compile use cases and understand which technologies can work well together. Besides, you must also choose AI vendors through in-depth analysis and comparison of their product and service offerings. Choose technologies that will give you tangible results instead of selecting what is best in the market. Gartner advises that CIOs must take one AI step at a time rather than make investments with half-baked information.
RPA is often mistaken for AI. AI encompasses a wide array of intelligent technologies like machine learning, adaptive alteration, neural networks, predictive analytics, etc. Unlike RPA, these apply in-built cognitive capabilities to improve automation and are expected to require less human intervention. Be it RPA or AI, each technology comes with a set of features that prove their individual value addition. You must understand their key concepts and applicable areas before setting up expectations and business strategy. You can deploy RPA independently or in combination with AI to make optimal use of their adaptability and industry penetration.
Seeing AI at the End of the RPA Tunnel
RPA is about automation of repetitive tasks that often reduce the productivity of your employees. All it needs is structured data and set rules to analyze and speed up tasks and processes. Later, you can combine it with cognitive technologies to give results based on situations, data, and emotion. However, since early adopters are experiencing improved efficiency and faster delivery, they might not invest further for a while. A multistage energy provider is already using RPA for automating service requests. Its chatbots are addressing customer requests. A call center executive comes to the rescue when the bots do not find a solution.
Nowadays, companies are rushing to upgrade tools and processes and train resources to remain relevant in the emerging technology market. However, before adopting a technology that your peers have, you must check if it at all applies to your business. CIOs that strategize by taking a more rounded approach will stay ahead in the RPA and AI journey.
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